A convex relaxation optimization algorithm for multi-camera calibration with 1D objects
Accurate calibration is a pre-requisite for applications of a multi-camera system. The one-dimensional calibration method is highly suitable for multi-camera systems because a one-dimensional object is easy to construct and without self-occlusions. However, the progress made in one-dimensional calib...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Wang, Liang [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2016transfer abstract |
|---|
| Schlagwörter: |
|---|
| Umfang: |
8 |
|---|
| Übergeordnetes Werk: |
Enthalten in: The TORC1 signaling pathway regulates respiration-induced mitophagy in yeast - Liu, Yang ELSEVIER, 2018, an international journal, Amsterdam |
|---|---|
| Übergeordnetes Werk: |
volume:215 ; year:2016 ; day:26 ; month:11 ; pages:82-89 ; extent:8 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.neucom.2015.07.158 |
|---|
| Katalog-ID: |
ELV024603937 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | ELV024603937 | ||
| 003 | DE-627 | ||
| 005 | 20230625143142.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 180603s2016 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.neucom.2015.07.158 |2 doi | |
| 028 | 5 | 2 | |a GBVA2016014000028.pica |
| 035 | |a (DE-627)ELV024603937 | ||
| 035 | |a (ELSEVIER)S0925-2312(16)30646-4 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | |a 610 | |
| 082 | 0 | 4 | |a 610 |q DE-600 |
| 082 | 0 | 4 | |a 570 |q VZ |
| 084 | |a BIODIV |q DE-30 |2 fid | ||
| 084 | |a 35.70 |2 bkl | ||
| 084 | |a 42.12 |2 bkl | ||
| 100 | 1 | |a Wang, Liang |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a A convex relaxation optimization algorithm for multi-camera calibration with 1D objects |
| 264 | 1 | |c 2016transfer abstract | |
| 300 | |a 8 | ||
| 336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
| 337 | |a nicht spezifiziert |b z |2 rdamedia | ||
| 338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
| 520 | |a Accurate calibration is a pre-requisite for applications of a multi-camera system. The one-dimensional calibration method is highly suitable for multi-camera systems because a one-dimensional object is easy to construct and without self-occlusions. However, the progress made in one-dimensional calibration has primarily focused on reducing the constraints on the motion of one-dimensional objects, and the calibration accuracy still needs to be improved. In this paper, an accurate algorithm for multi-camera calibration with one-dimensional objects that is based on the convex relaxation techniques is proposed. First, constraints on the absolute conic of each camera are constructed. Next, the optimal solution for each absolute conic is found using convex relaxation, and the intrinsic parameters of each camera are computed. Finally, the extrinsic parameters of the multi-camera system are computed using simple matrix operations. Compared with existing algorithms, the proposed algorithm is more accurate and converges faster. Experiments with both synthetic and real image data validate the proposed algorithm. | ||
| 520 | |a Accurate calibration is a pre-requisite for applications of a multi-camera system. The one-dimensional calibration method is highly suitable for multi-camera systems because a one-dimensional object is easy to construct and without self-occlusions. However, the progress made in one-dimensional calibration has primarily focused on reducing the constraints on the motion of one-dimensional objects, and the calibration accuracy still needs to be improved. In this paper, an accurate algorithm for multi-camera calibration with one-dimensional objects that is based on the convex relaxation techniques is proposed. First, constraints on the absolute conic of each camera are constructed. Next, the optimal solution for each absolute conic is found using convex relaxation, and the intrinsic parameters of each camera are computed. Finally, the extrinsic parameters of the multi-camera system are computed using simple matrix operations. Compared with existing algorithms, the proposed algorithm is more accurate and converges faster. Experiments with both synthetic and real image data validate the proposed algorithm. | ||
| 650 | 7 | |a Camera calibration |2 Elsevier | |
| 650 | 7 | |a Convex relaxation |2 Elsevier | |
| 650 | 7 | |a Multi-camera system |2 Elsevier | |
| 650 | 7 | |a One-dimensional objects |2 Elsevier | |
| 700 | 1 | |a Wang, Weiwei |4 oth | |
| 700 | 1 | |a Shen, Chao |4 oth | |
| 700 | 1 | |a Duan, Fuqing |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier |a Liu, Yang ELSEVIER |t The TORC1 signaling pathway regulates respiration-induced mitophagy in yeast |d 2018 |d an international journal |g Amsterdam |w (DE-627)ELV002603926 |
| 773 | 1 | 8 | |g volume:215 |g year:2016 |g day:26 |g month:11 |g pages:82-89 |g extent:8 |
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.neucom.2015.07.158 |3 Volltext |
| 912 | |a GBV_USEFLAG_U | ||
| 912 | |a GBV_ELV | ||
| 912 | |a SYSFLAG_U | ||
| 912 | |a FID-BIODIV | ||
| 912 | |a SSG-OLC-PHA | ||
| 936 | b | k | |a 35.70 |j Biochemie: Allgemeines |q VZ |
| 936 | b | k | |a 42.12 |j Biophysik |q VZ |
| 951 | |a AR | ||
| 952 | |d 215 |j 2016 |b 26 |c 1126 |h 82-89 |g 8 | ||
| 953 | |2 045F |a 610 | ||
| author_variant |
l w lw |
|---|---|
| matchkey_str |
wangliangwangweiweishenchaoduanfuqing:2016----:cnerlxtootmztoagrtmomliaeaai |
| hierarchy_sort_str |
2016transfer abstract |
| bklnumber |
35.70 42.12 |
| publishDate |
2016 |
| allfields |
10.1016/j.neucom.2015.07.158 doi GBVA2016014000028.pica (DE-627)ELV024603937 (ELSEVIER)S0925-2312(16)30646-4 DE-627 ger DE-627 rakwb eng 610 610 DE-600 570 VZ BIODIV DE-30 fid 35.70 bkl 42.12 bkl Wang, Liang verfasserin aut A convex relaxation optimization algorithm for multi-camera calibration with 1D objects 2016transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Accurate calibration is a pre-requisite for applications of a multi-camera system. The one-dimensional calibration method is highly suitable for multi-camera systems because a one-dimensional object is easy to construct and without self-occlusions. However, the progress made in one-dimensional calibration has primarily focused on reducing the constraints on the motion of one-dimensional objects, and the calibration accuracy still needs to be improved. In this paper, an accurate algorithm for multi-camera calibration with one-dimensional objects that is based on the convex relaxation techniques is proposed. First, constraints on the absolute conic of each camera are constructed. Next, the optimal solution for each absolute conic is found using convex relaxation, and the intrinsic parameters of each camera are computed. Finally, the extrinsic parameters of the multi-camera system are computed using simple matrix operations. Compared with existing algorithms, the proposed algorithm is more accurate and converges faster. Experiments with both synthetic and real image data validate the proposed algorithm. Accurate calibration is a pre-requisite for applications of a multi-camera system. The one-dimensional calibration method is highly suitable for multi-camera systems because a one-dimensional object is easy to construct and without self-occlusions. However, the progress made in one-dimensional calibration has primarily focused on reducing the constraints on the motion of one-dimensional objects, and the calibration accuracy still needs to be improved. In this paper, an accurate algorithm for multi-camera calibration with one-dimensional objects that is based on the convex relaxation techniques is proposed. First, constraints on the absolute conic of each camera are constructed. Next, the optimal solution for each absolute conic is found using convex relaxation, and the intrinsic parameters of each camera are computed. Finally, the extrinsic parameters of the multi-camera system are computed using simple matrix operations. Compared with existing algorithms, the proposed algorithm is more accurate and converges faster. Experiments with both synthetic and real image data validate the proposed algorithm. Camera calibration Elsevier Convex relaxation Elsevier Multi-camera system Elsevier One-dimensional objects Elsevier Wang, Weiwei oth Shen, Chao oth Duan, Fuqing oth Enthalten in Elsevier Liu, Yang ELSEVIER The TORC1 signaling pathway regulates respiration-induced mitophagy in yeast 2018 an international journal Amsterdam (DE-627)ELV002603926 volume:215 year:2016 day:26 month:11 pages:82-89 extent:8 https://doi.org/10.1016/j.neucom.2015.07.158 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 35.70 Biochemie: Allgemeines VZ 42.12 Biophysik VZ AR 215 2016 26 1126 82-89 8 045F 610 |
| spelling |
10.1016/j.neucom.2015.07.158 doi GBVA2016014000028.pica (DE-627)ELV024603937 (ELSEVIER)S0925-2312(16)30646-4 DE-627 ger DE-627 rakwb eng 610 610 DE-600 570 VZ BIODIV DE-30 fid 35.70 bkl 42.12 bkl Wang, Liang verfasserin aut A convex relaxation optimization algorithm for multi-camera calibration with 1D objects 2016transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Accurate calibration is a pre-requisite for applications of a multi-camera system. The one-dimensional calibration method is highly suitable for multi-camera systems because a one-dimensional object is easy to construct and without self-occlusions. However, the progress made in one-dimensional calibration has primarily focused on reducing the constraints on the motion of one-dimensional objects, and the calibration accuracy still needs to be improved. In this paper, an accurate algorithm for multi-camera calibration with one-dimensional objects that is based on the convex relaxation techniques is proposed. First, constraints on the absolute conic of each camera are constructed. Next, the optimal solution for each absolute conic is found using convex relaxation, and the intrinsic parameters of each camera are computed. Finally, the extrinsic parameters of the multi-camera system are computed using simple matrix operations. Compared with existing algorithms, the proposed algorithm is more accurate and converges faster. Experiments with both synthetic and real image data validate the proposed algorithm. Accurate calibration is a pre-requisite for applications of a multi-camera system. The one-dimensional calibration method is highly suitable for multi-camera systems because a one-dimensional object is easy to construct and without self-occlusions. However, the progress made in one-dimensional calibration has primarily focused on reducing the constraints on the motion of one-dimensional objects, and the calibration accuracy still needs to be improved. In this paper, an accurate algorithm for multi-camera calibration with one-dimensional objects that is based on the convex relaxation techniques is proposed. First, constraints on the absolute conic of each camera are constructed. Next, the optimal solution for each absolute conic is found using convex relaxation, and the intrinsic parameters of each camera are computed. Finally, the extrinsic parameters of the multi-camera system are computed using simple matrix operations. Compared with existing algorithms, the proposed algorithm is more accurate and converges faster. Experiments with both synthetic and real image data validate the proposed algorithm. Camera calibration Elsevier Convex relaxation Elsevier Multi-camera system Elsevier One-dimensional objects Elsevier Wang, Weiwei oth Shen, Chao oth Duan, Fuqing oth Enthalten in Elsevier Liu, Yang ELSEVIER The TORC1 signaling pathway regulates respiration-induced mitophagy in yeast 2018 an international journal Amsterdam (DE-627)ELV002603926 volume:215 year:2016 day:26 month:11 pages:82-89 extent:8 https://doi.org/10.1016/j.neucom.2015.07.158 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 35.70 Biochemie: Allgemeines VZ 42.12 Biophysik VZ AR 215 2016 26 1126 82-89 8 045F 610 |
| allfields_unstemmed |
10.1016/j.neucom.2015.07.158 doi GBVA2016014000028.pica (DE-627)ELV024603937 (ELSEVIER)S0925-2312(16)30646-4 DE-627 ger DE-627 rakwb eng 610 610 DE-600 570 VZ BIODIV DE-30 fid 35.70 bkl 42.12 bkl Wang, Liang verfasserin aut A convex relaxation optimization algorithm for multi-camera calibration with 1D objects 2016transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Accurate calibration is a pre-requisite for applications of a multi-camera system. The one-dimensional calibration method is highly suitable for multi-camera systems because a one-dimensional object is easy to construct and without self-occlusions. However, the progress made in one-dimensional calibration has primarily focused on reducing the constraints on the motion of one-dimensional objects, and the calibration accuracy still needs to be improved. In this paper, an accurate algorithm for multi-camera calibration with one-dimensional objects that is based on the convex relaxation techniques is proposed. First, constraints on the absolute conic of each camera are constructed. Next, the optimal solution for each absolute conic is found using convex relaxation, and the intrinsic parameters of each camera are computed. Finally, the extrinsic parameters of the multi-camera system are computed using simple matrix operations. Compared with existing algorithms, the proposed algorithm is more accurate and converges faster. Experiments with both synthetic and real image data validate the proposed algorithm. Accurate calibration is a pre-requisite for applications of a multi-camera system. The one-dimensional calibration method is highly suitable for multi-camera systems because a one-dimensional object is easy to construct and without self-occlusions. However, the progress made in one-dimensional calibration has primarily focused on reducing the constraints on the motion of one-dimensional objects, and the calibration accuracy still needs to be improved. In this paper, an accurate algorithm for multi-camera calibration with one-dimensional objects that is based on the convex relaxation techniques is proposed. First, constraints on the absolute conic of each camera are constructed. Next, the optimal solution for each absolute conic is found using convex relaxation, and the intrinsic parameters of each camera are computed. Finally, the extrinsic parameters of the multi-camera system are computed using simple matrix operations. Compared with existing algorithms, the proposed algorithm is more accurate and converges faster. Experiments with both synthetic and real image data validate the proposed algorithm. Camera calibration Elsevier Convex relaxation Elsevier Multi-camera system Elsevier One-dimensional objects Elsevier Wang, Weiwei oth Shen, Chao oth Duan, Fuqing oth Enthalten in Elsevier Liu, Yang ELSEVIER The TORC1 signaling pathway regulates respiration-induced mitophagy in yeast 2018 an international journal Amsterdam (DE-627)ELV002603926 volume:215 year:2016 day:26 month:11 pages:82-89 extent:8 https://doi.org/10.1016/j.neucom.2015.07.158 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 35.70 Biochemie: Allgemeines VZ 42.12 Biophysik VZ AR 215 2016 26 1126 82-89 8 045F 610 |
| allfieldsGer |
10.1016/j.neucom.2015.07.158 doi GBVA2016014000028.pica (DE-627)ELV024603937 (ELSEVIER)S0925-2312(16)30646-4 DE-627 ger DE-627 rakwb eng 610 610 DE-600 570 VZ BIODIV DE-30 fid 35.70 bkl 42.12 bkl Wang, Liang verfasserin aut A convex relaxation optimization algorithm for multi-camera calibration with 1D objects 2016transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Accurate calibration is a pre-requisite for applications of a multi-camera system. The one-dimensional calibration method is highly suitable for multi-camera systems because a one-dimensional object is easy to construct and without self-occlusions. However, the progress made in one-dimensional calibration has primarily focused on reducing the constraints on the motion of one-dimensional objects, and the calibration accuracy still needs to be improved. In this paper, an accurate algorithm for multi-camera calibration with one-dimensional objects that is based on the convex relaxation techniques is proposed. First, constraints on the absolute conic of each camera are constructed. Next, the optimal solution for each absolute conic is found using convex relaxation, and the intrinsic parameters of each camera are computed. Finally, the extrinsic parameters of the multi-camera system are computed using simple matrix operations. Compared with existing algorithms, the proposed algorithm is more accurate and converges faster. Experiments with both synthetic and real image data validate the proposed algorithm. Accurate calibration is a pre-requisite for applications of a multi-camera system. The one-dimensional calibration method is highly suitable for multi-camera systems because a one-dimensional object is easy to construct and without self-occlusions. However, the progress made in one-dimensional calibration has primarily focused on reducing the constraints on the motion of one-dimensional objects, and the calibration accuracy still needs to be improved. In this paper, an accurate algorithm for multi-camera calibration with one-dimensional objects that is based on the convex relaxation techniques is proposed. First, constraints on the absolute conic of each camera are constructed. Next, the optimal solution for each absolute conic is found using convex relaxation, and the intrinsic parameters of each camera are computed. Finally, the extrinsic parameters of the multi-camera system are computed using simple matrix operations. Compared with existing algorithms, the proposed algorithm is more accurate and converges faster. Experiments with both synthetic and real image data validate the proposed algorithm. Camera calibration Elsevier Convex relaxation Elsevier Multi-camera system Elsevier One-dimensional objects Elsevier Wang, Weiwei oth Shen, Chao oth Duan, Fuqing oth Enthalten in Elsevier Liu, Yang ELSEVIER The TORC1 signaling pathway regulates respiration-induced mitophagy in yeast 2018 an international journal Amsterdam (DE-627)ELV002603926 volume:215 year:2016 day:26 month:11 pages:82-89 extent:8 https://doi.org/10.1016/j.neucom.2015.07.158 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 35.70 Biochemie: Allgemeines VZ 42.12 Biophysik VZ AR 215 2016 26 1126 82-89 8 045F 610 |
| allfieldsSound |
10.1016/j.neucom.2015.07.158 doi GBVA2016014000028.pica (DE-627)ELV024603937 (ELSEVIER)S0925-2312(16)30646-4 DE-627 ger DE-627 rakwb eng 610 610 DE-600 570 VZ BIODIV DE-30 fid 35.70 bkl 42.12 bkl Wang, Liang verfasserin aut A convex relaxation optimization algorithm for multi-camera calibration with 1D objects 2016transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Accurate calibration is a pre-requisite for applications of a multi-camera system. The one-dimensional calibration method is highly suitable for multi-camera systems because a one-dimensional object is easy to construct and without self-occlusions. However, the progress made in one-dimensional calibration has primarily focused on reducing the constraints on the motion of one-dimensional objects, and the calibration accuracy still needs to be improved. In this paper, an accurate algorithm for multi-camera calibration with one-dimensional objects that is based on the convex relaxation techniques is proposed. First, constraints on the absolute conic of each camera are constructed. Next, the optimal solution for each absolute conic is found using convex relaxation, and the intrinsic parameters of each camera are computed. Finally, the extrinsic parameters of the multi-camera system are computed using simple matrix operations. Compared with existing algorithms, the proposed algorithm is more accurate and converges faster. Experiments with both synthetic and real image data validate the proposed algorithm. Accurate calibration is a pre-requisite for applications of a multi-camera system. The one-dimensional calibration method is highly suitable for multi-camera systems because a one-dimensional object is easy to construct and without self-occlusions. However, the progress made in one-dimensional calibration has primarily focused on reducing the constraints on the motion of one-dimensional objects, and the calibration accuracy still needs to be improved. In this paper, an accurate algorithm for multi-camera calibration with one-dimensional objects that is based on the convex relaxation techniques is proposed. First, constraints on the absolute conic of each camera are constructed. Next, the optimal solution for each absolute conic is found using convex relaxation, and the intrinsic parameters of each camera are computed. Finally, the extrinsic parameters of the multi-camera system are computed using simple matrix operations. Compared with existing algorithms, the proposed algorithm is more accurate and converges faster. Experiments with both synthetic and real image data validate the proposed algorithm. Camera calibration Elsevier Convex relaxation Elsevier Multi-camera system Elsevier One-dimensional objects Elsevier Wang, Weiwei oth Shen, Chao oth Duan, Fuqing oth Enthalten in Elsevier Liu, Yang ELSEVIER The TORC1 signaling pathway regulates respiration-induced mitophagy in yeast 2018 an international journal Amsterdam (DE-627)ELV002603926 volume:215 year:2016 day:26 month:11 pages:82-89 extent:8 https://doi.org/10.1016/j.neucom.2015.07.158 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 35.70 Biochemie: Allgemeines VZ 42.12 Biophysik VZ AR 215 2016 26 1126 82-89 8 045F 610 |
| language |
English |
| source |
Enthalten in The TORC1 signaling pathway regulates respiration-induced mitophagy in yeast Amsterdam volume:215 year:2016 day:26 month:11 pages:82-89 extent:8 |
| sourceStr |
Enthalten in The TORC1 signaling pathway regulates respiration-induced mitophagy in yeast Amsterdam volume:215 year:2016 day:26 month:11 pages:82-89 extent:8 |
| format_phy_str_mv |
Article |
| bklname |
Biochemie: Allgemeines Biophysik |
| institution |
findex.gbv.de |
| topic_facet |
Camera calibration Convex relaxation Multi-camera system One-dimensional objects |
| dewey-raw |
610 |
| isfreeaccess_bool |
false |
| container_title |
The TORC1 signaling pathway regulates respiration-induced mitophagy in yeast |
| authorswithroles_txt_mv |
Wang, Liang @@aut@@ Wang, Weiwei @@oth@@ Shen, Chao @@oth@@ Duan, Fuqing @@oth@@ |
| publishDateDaySort_date |
2016-01-26T00:00:00Z |
| hierarchy_top_id |
ELV002603926 |
| dewey-sort |
3610 |
| id |
ELV024603937 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV024603937</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230625143142.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180603s2016 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.neucom.2015.07.158</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBVA2016014000028.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV024603937</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0925-2312(16)30646-4</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">610</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">570</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">BIODIV</subfield><subfield code="q">DE-30</subfield><subfield code="2">fid</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">35.70</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">42.12</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Wang, Liang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">A convex relaxation optimization algorithm for multi-camera calibration with 1D objects</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2016transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">8</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Accurate calibration is a pre-requisite for applications of a multi-camera system. The one-dimensional calibration method is highly suitable for multi-camera systems because a one-dimensional object is easy to construct and without self-occlusions. However, the progress made in one-dimensional calibration has primarily focused on reducing the constraints on the motion of one-dimensional objects, and the calibration accuracy still needs to be improved. In this paper, an accurate algorithm for multi-camera calibration with one-dimensional objects that is based on the convex relaxation techniques is proposed. First, constraints on the absolute conic of each camera are constructed. Next, the optimal solution for each absolute conic is found using convex relaxation, and the intrinsic parameters of each camera are computed. Finally, the extrinsic parameters of the multi-camera system are computed using simple matrix operations. Compared with existing algorithms, the proposed algorithm is more accurate and converges faster. Experiments with both synthetic and real image data validate the proposed algorithm.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Accurate calibration is a pre-requisite for applications of a multi-camera system. The one-dimensional calibration method is highly suitable for multi-camera systems because a one-dimensional object is easy to construct and without self-occlusions. However, the progress made in one-dimensional calibration has primarily focused on reducing the constraints on the motion of one-dimensional objects, and the calibration accuracy still needs to be improved. In this paper, an accurate algorithm for multi-camera calibration with one-dimensional objects that is based on the convex relaxation techniques is proposed. First, constraints on the absolute conic of each camera are constructed. Next, the optimal solution for each absolute conic is found using convex relaxation, and the intrinsic parameters of each camera are computed. Finally, the extrinsic parameters of the multi-camera system are computed using simple matrix operations. Compared with existing algorithms, the proposed algorithm is more accurate and converges faster. Experiments with both synthetic and real image data validate the proposed algorithm.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Camera calibration</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Convex relaxation</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Multi-camera system</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">One-dimensional objects</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Weiwei</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Shen, Chao</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Duan, Fuqing</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier</subfield><subfield code="a">Liu, Yang ELSEVIER</subfield><subfield code="t">The TORC1 signaling pathway regulates respiration-induced mitophagy in yeast</subfield><subfield code="d">2018</subfield><subfield code="d">an international journal</subfield><subfield code="g">Amsterdam</subfield><subfield code="w">(DE-627)ELV002603926</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:215</subfield><subfield code="g">year:2016</subfield><subfield code="g">day:26</subfield><subfield code="g">month:11</subfield><subfield code="g">pages:82-89</subfield><subfield code="g">extent:8</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.neucom.2015.07.158</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">FID-BIODIV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">35.70</subfield><subfield code="j">Biochemie: Allgemeines</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">42.12</subfield><subfield code="j">Biophysik</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">215</subfield><subfield code="j">2016</subfield><subfield code="b">26</subfield><subfield code="c">1126</subfield><subfield code="h">82-89</subfield><subfield code="g">8</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">610</subfield></datafield></record></collection>
|
| author |
Wang, Liang |
| spellingShingle |
Wang, Liang ddc 610 ddc 570 fid BIODIV bkl 35.70 bkl 42.12 Elsevier Camera calibration Elsevier Convex relaxation Elsevier Multi-camera system Elsevier One-dimensional objects A convex relaxation optimization algorithm for multi-camera calibration with 1D objects |
| authorStr |
Wang, Liang |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV002603926 |
| format |
electronic Article |
| dewey-ones |
610 - Medicine & health 570 - Life sciences; biology |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
elsevier |
| remote_str |
true |
| illustrated |
Not Illustrated |
| topic_title |
610 610 DE-600 570 VZ BIODIV DE-30 fid 35.70 bkl 42.12 bkl A convex relaxation optimization algorithm for multi-camera calibration with 1D objects Camera calibration Elsevier Convex relaxation Elsevier Multi-camera system Elsevier One-dimensional objects Elsevier |
| topic |
ddc 610 ddc 570 fid BIODIV bkl 35.70 bkl 42.12 Elsevier Camera calibration Elsevier Convex relaxation Elsevier Multi-camera system Elsevier One-dimensional objects |
| topic_unstemmed |
ddc 610 ddc 570 fid BIODIV bkl 35.70 bkl 42.12 Elsevier Camera calibration Elsevier Convex relaxation Elsevier Multi-camera system Elsevier One-dimensional objects |
| topic_browse |
ddc 610 ddc 570 fid BIODIV bkl 35.70 bkl 42.12 Elsevier Camera calibration Elsevier Convex relaxation Elsevier Multi-camera system Elsevier One-dimensional objects |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
zu |
| author2_variant |
w w ww c s cs f d fd |
| hierarchy_parent_title |
The TORC1 signaling pathway regulates respiration-induced mitophagy in yeast |
| hierarchy_parent_id |
ELV002603926 |
| dewey-tens |
610 - Medicine & health 570 - Life sciences; biology |
| hierarchy_top_title |
The TORC1 signaling pathway regulates respiration-induced mitophagy in yeast |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)ELV002603926 |
| title |
A convex relaxation optimization algorithm for multi-camera calibration with 1D objects |
| ctrlnum |
(DE-627)ELV024603937 (ELSEVIER)S0925-2312(16)30646-4 |
| title_full |
A convex relaxation optimization algorithm for multi-camera calibration with 1D objects |
| author_sort |
Wang, Liang |
| journal |
The TORC1 signaling pathway regulates respiration-induced mitophagy in yeast |
| journalStr |
The TORC1 signaling pathway regulates respiration-induced mitophagy in yeast |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
600 - Technology 500 - Science |
| recordtype |
marc |
| publishDateSort |
2016 |
| contenttype_str_mv |
zzz |
| container_start_page |
82 |
| author_browse |
Wang, Liang |
| container_volume |
215 |
| physical |
8 |
| class |
610 610 DE-600 570 VZ BIODIV DE-30 fid 35.70 bkl 42.12 bkl |
| format_se |
Elektronische Aufsätze |
| author-letter |
Wang, Liang |
| doi_str_mv |
10.1016/j.neucom.2015.07.158 |
| dewey-full |
610 570 |
| title_sort |
a convex relaxation optimization algorithm for multi-camera calibration with 1d objects |
| title_auth |
A convex relaxation optimization algorithm for multi-camera calibration with 1D objects |
| abstract |
Accurate calibration is a pre-requisite for applications of a multi-camera system. The one-dimensional calibration method is highly suitable for multi-camera systems because a one-dimensional object is easy to construct and without self-occlusions. However, the progress made in one-dimensional calibration has primarily focused on reducing the constraints on the motion of one-dimensional objects, and the calibration accuracy still needs to be improved. In this paper, an accurate algorithm for multi-camera calibration with one-dimensional objects that is based on the convex relaxation techniques is proposed. First, constraints on the absolute conic of each camera are constructed. Next, the optimal solution for each absolute conic is found using convex relaxation, and the intrinsic parameters of each camera are computed. Finally, the extrinsic parameters of the multi-camera system are computed using simple matrix operations. Compared with existing algorithms, the proposed algorithm is more accurate and converges faster. Experiments with both synthetic and real image data validate the proposed algorithm. |
| abstractGer |
Accurate calibration is a pre-requisite for applications of a multi-camera system. The one-dimensional calibration method is highly suitable for multi-camera systems because a one-dimensional object is easy to construct and without self-occlusions. However, the progress made in one-dimensional calibration has primarily focused on reducing the constraints on the motion of one-dimensional objects, and the calibration accuracy still needs to be improved. In this paper, an accurate algorithm for multi-camera calibration with one-dimensional objects that is based on the convex relaxation techniques is proposed. First, constraints on the absolute conic of each camera are constructed. Next, the optimal solution for each absolute conic is found using convex relaxation, and the intrinsic parameters of each camera are computed. Finally, the extrinsic parameters of the multi-camera system are computed using simple matrix operations. Compared with existing algorithms, the proposed algorithm is more accurate and converges faster. Experiments with both synthetic and real image data validate the proposed algorithm. |
| abstract_unstemmed |
Accurate calibration is a pre-requisite for applications of a multi-camera system. The one-dimensional calibration method is highly suitable for multi-camera systems because a one-dimensional object is easy to construct and without self-occlusions. However, the progress made in one-dimensional calibration has primarily focused on reducing the constraints on the motion of one-dimensional objects, and the calibration accuracy still needs to be improved. In this paper, an accurate algorithm for multi-camera calibration with one-dimensional objects that is based on the convex relaxation techniques is proposed. First, constraints on the absolute conic of each camera are constructed. Next, the optimal solution for each absolute conic is found using convex relaxation, and the intrinsic parameters of each camera are computed. Finally, the extrinsic parameters of the multi-camera system are computed using simple matrix operations. Compared with existing algorithms, the proposed algorithm is more accurate and converges faster. Experiments with both synthetic and real image data validate the proposed algorithm. |
| collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA |
| title_short |
A convex relaxation optimization algorithm for multi-camera calibration with 1D objects |
| url |
https://doi.org/10.1016/j.neucom.2015.07.158 |
| remote_bool |
true |
| author2 |
Wang, Weiwei Shen, Chao Duan, Fuqing |
| author2Str |
Wang, Weiwei Shen, Chao Duan, Fuqing |
| ppnlink |
ELV002603926 |
| mediatype_str_mv |
z |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth oth oth |
| doi_str |
10.1016/j.neucom.2015.07.158 |
| up_date |
2024-07-06T21:52:20.270Z |
| _version_ |
1803868166182404096 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV024603937</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230625143142.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180603s2016 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.neucom.2015.07.158</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBVA2016014000028.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV024603937</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0925-2312(16)30646-4</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">610</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">570</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">BIODIV</subfield><subfield code="q">DE-30</subfield><subfield code="2">fid</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">35.70</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">42.12</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Wang, Liang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">A convex relaxation optimization algorithm for multi-camera calibration with 1D objects</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2016transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">8</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Accurate calibration is a pre-requisite for applications of a multi-camera system. The one-dimensional calibration method is highly suitable for multi-camera systems because a one-dimensional object is easy to construct and without self-occlusions. However, the progress made in one-dimensional calibration has primarily focused on reducing the constraints on the motion of one-dimensional objects, and the calibration accuracy still needs to be improved. In this paper, an accurate algorithm for multi-camera calibration with one-dimensional objects that is based on the convex relaxation techniques is proposed. First, constraints on the absolute conic of each camera are constructed. Next, the optimal solution for each absolute conic is found using convex relaxation, and the intrinsic parameters of each camera are computed. Finally, the extrinsic parameters of the multi-camera system are computed using simple matrix operations. Compared with existing algorithms, the proposed algorithm is more accurate and converges faster. Experiments with both synthetic and real image data validate the proposed algorithm.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Accurate calibration is a pre-requisite for applications of a multi-camera system. The one-dimensional calibration method is highly suitable for multi-camera systems because a one-dimensional object is easy to construct and without self-occlusions. However, the progress made in one-dimensional calibration has primarily focused on reducing the constraints on the motion of one-dimensional objects, and the calibration accuracy still needs to be improved. In this paper, an accurate algorithm for multi-camera calibration with one-dimensional objects that is based on the convex relaxation techniques is proposed. First, constraints on the absolute conic of each camera are constructed. Next, the optimal solution for each absolute conic is found using convex relaxation, and the intrinsic parameters of each camera are computed. Finally, the extrinsic parameters of the multi-camera system are computed using simple matrix operations. Compared with existing algorithms, the proposed algorithm is more accurate and converges faster. Experiments with both synthetic and real image data validate the proposed algorithm.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Camera calibration</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Convex relaxation</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Multi-camera system</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">One-dimensional objects</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Weiwei</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Shen, Chao</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Duan, Fuqing</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier</subfield><subfield code="a">Liu, Yang ELSEVIER</subfield><subfield code="t">The TORC1 signaling pathway regulates respiration-induced mitophagy in yeast</subfield><subfield code="d">2018</subfield><subfield code="d">an international journal</subfield><subfield code="g">Amsterdam</subfield><subfield code="w">(DE-627)ELV002603926</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:215</subfield><subfield code="g">year:2016</subfield><subfield code="g">day:26</subfield><subfield code="g">month:11</subfield><subfield code="g">pages:82-89</subfield><subfield code="g">extent:8</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.neucom.2015.07.158</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">FID-BIODIV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">35.70</subfield><subfield code="j">Biochemie: Allgemeines</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">42.12</subfield><subfield code="j">Biophysik</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">215</subfield><subfield code="j">2016</subfield><subfield code="b">26</subfield><subfield code="c">1126</subfield><subfield code="h">82-89</subfield><subfield code="g">8</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">610</subfield></datafield></record></collection>
|
| score |
7.401434 |