Energy-based automatic recognition of multiple spheres in three-dimensional point cloud
• A novel method for automatic recognition of multiple spheres in 3D point cloud. • It obtains the optimal results by labeling points via minimizing the energy. • It automatically determines the unknown number of spheres. • It alleviates the dependence on distance thresholds. • It has high accuracy...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Wang, Liang [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2016 |
|---|
| Umfang: |
7 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Thermal structure optimization of a supercondcuting cavity vertical test cryostat - Jin, Shufeng ELSEVIER, 2019, an official publ. of the International Association for Pattern Recognition, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:83 ; year:2016 ; day:1 ; month:11 ; pages:287-293 ; extent:7 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.patrec.2016.07.008 |
|---|
| Katalog-ID: |
ELV013743252 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | ELV013743252 | ||
| 003 | DE-627 | ||
| 005 | 20230623110803.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 180602s2016 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.patrec.2016.07.008 |2 doi | |
| 028 | 5 | 2 | |a GBVA2016004000005.pica |
| 035 | |a (DE-627)ELV013743252 | ||
| 035 | |a (ELSEVIER)S0167-8655(16)30170-2 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | |a 004 | |
| 082 | 0 | 4 | |a 004 |q DE-600 |
| 082 | 0 | 4 | |a 660 |q VZ |
| 084 | |a 52.43 |2 bkl | ||
| 084 | |a 33.09 |2 bkl | ||
| 100 | 1 | |a Wang, Liang |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Energy-based automatic recognition of multiple spheres in three-dimensional point cloud |
| 264 | 1 | |c 2016 | |
| 300 | |a 7 | ||
| 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 • A novel method for automatic recognition of multiple spheres in 3D point cloud. • It obtains the optimal results by labeling points via minimizing the energy. • It automatically determines the unknown number of spheres. • It alleviates the dependence on distance thresholds. • It has high accuracy and strong robustness. | ||
| 700 | 1 | |a Shen, Chao |4 oth | |
| 700 | 1 | |a Duan, Fuqing |4 oth | |
| 700 | 1 | |a Lu, Ke |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier |a Jin, Shufeng ELSEVIER |t Thermal structure optimization of a supercondcuting cavity vertical test cryostat |d 2019 |d an official publ. of the International Association for Pattern Recognition |g Amsterdam [u.a.] |w (DE-627)ELV003173968 |
| 773 | 1 | 8 | |g volume:83 |g year:2016 |g day:1 |g month:11 |g pages:287-293 |g extent:7 |
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.patrec.2016.07.008 |3 Volltext |
| 912 | |a GBV_USEFLAG_U | ||
| 912 | |a GBV_ELV | ||
| 912 | |a SYSFLAG_U | ||
| 912 | |a SSG-OLC-PHA | ||
| 936 | b | k | |a 52.43 |j Kältetechnik |q VZ |
| 936 | b | k | |a 33.09 |j Physik unter besonderen Bedingungen |q VZ |
| 951 | |a AR | ||
| 952 | |d 83 |j 2016 |b 1 |c 1101 |h 287-293 |g 7 | ||
| 953 | |2 045F |a 004 | ||
| author_variant |
l w lw |
|---|---|
| matchkey_str |
wangliangshenchaoduanfuqingluke:2016----:nryaeatmtceontoomlilshrsnhed |
| hierarchy_sort_str |
2016 |
| bklnumber |
52.43 33.09 |
| publishDate |
2016 |
| allfields |
10.1016/j.patrec.2016.07.008 doi GBVA2016004000005.pica (DE-627)ELV013743252 (ELSEVIER)S0167-8655(16)30170-2 DE-627 ger DE-627 rakwb eng 004 004 DE-600 660 VZ 52.43 bkl 33.09 bkl Wang, Liang verfasserin aut Energy-based automatic recognition of multiple spheres in three-dimensional point cloud 2016 7 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • A novel method for automatic recognition of multiple spheres in 3D point cloud. • It obtains the optimal results by labeling points via minimizing the energy. • It automatically determines the unknown number of spheres. • It alleviates the dependence on distance thresholds. • It has high accuracy and strong robustness. Shen, Chao oth Duan, Fuqing oth Lu, Ke oth Enthalten in Elsevier Jin, Shufeng ELSEVIER Thermal structure optimization of a supercondcuting cavity vertical test cryostat 2019 an official publ. of the International Association for Pattern Recognition Amsterdam [u.a.] (DE-627)ELV003173968 volume:83 year:2016 day:1 month:11 pages:287-293 extent:7 https://doi.org/10.1016/j.patrec.2016.07.008 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 52.43 Kältetechnik VZ 33.09 Physik unter besonderen Bedingungen VZ AR 83 2016 1 1101 287-293 7 045F 004 |
| spelling |
10.1016/j.patrec.2016.07.008 doi GBVA2016004000005.pica (DE-627)ELV013743252 (ELSEVIER)S0167-8655(16)30170-2 DE-627 ger DE-627 rakwb eng 004 004 DE-600 660 VZ 52.43 bkl 33.09 bkl Wang, Liang verfasserin aut Energy-based automatic recognition of multiple spheres in three-dimensional point cloud 2016 7 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • A novel method for automatic recognition of multiple spheres in 3D point cloud. • It obtains the optimal results by labeling points via minimizing the energy. • It automatically determines the unknown number of spheres. • It alleviates the dependence on distance thresholds. • It has high accuracy and strong robustness. Shen, Chao oth Duan, Fuqing oth Lu, Ke oth Enthalten in Elsevier Jin, Shufeng ELSEVIER Thermal structure optimization of a supercondcuting cavity vertical test cryostat 2019 an official publ. of the International Association for Pattern Recognition Amsterdam [u.a.] (DE-627)ELV003173968 volume:83 year:2016 day:1 month:11 pages:287-293 extent:7 https://doi.org/10.1016/j.patrec.2016.07.008 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 52.43 Kältetechnik VZ 33.09 Physik unter besonderen Bedingungen VZ AR 83 2016 1 1101 287-293 7 045F 004 |
| allfields_unstemmed |
10.1016/j.patrec.2016.07.008 doi GBVA2016004000005.pica (DE-627)ELV013743252 (ELSEVIER)S0167-8655(16)30170-2 DE-627 ger DE-627 rakwb eng 004 004 DE-600 660 VZ 52.43 bkl 33.09 bkl Wang, Liang verfasserin aut Energy-based automatic recognition of multiple spheres in three-dimensional point cloud 2016 7 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • A novel method for automatic recognition of multiple spheres in 3D point cloud. • It obtains the optimal results by labeling points via minimizing the energy. • It automatically determines the unknown number of spheres. • It alleviates the dependence on distance thresholds. • It has high accuracy and strong robustness. Shen, Chao oth Duan, Fuqing oth Lu, Ke oth Enthalten in Elsevier Jin, Shufeng ELSEVIER Thermal structure optimization of a supercondcuting cavity vertical test cryostat 2019 an official publ. of the International Association for Pattern Recognition Amsterdam [u.a.] (DE-627)ELV003173968 volume:83 year:2016 day:1 month:11 pages:287-293 extent:7 https://doi.org/10.1016/j.patrec.2016.07.008 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 52.43 Kältetechnik VZ 33.09 Physik unter besonderen Bedingungen VZ AR 83 2016 1 1101 287-293 7 045F 004 |
| allfieldsGer |
10.1016/j.patrec.2016.07.008 doi GBVA2016004000005.pica (DE-627)ELV013743252 (ELSEVIER)S0167-8655(16)30170-2 DE-627 ger DE-627 rakwb eng 004 004 DE-600 660 VZ 52.43 bkl 33.09 bkl Wang, Liang verfasserin aut Energy-based automatic recognition of multiple spheres in three-dimensional point cloud 2016 7 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • A novel method for automatic recognition of multiple spheres in 3D point cloud. • It obtains the optimal results by labeling points via minimizing the energy. • It automatically determines the unknown number of spheres. • It alleviates the dependence on distance thresholds. • It has high accuracy and strong robustness. Shen, Chao oth Duan, Fuqing oth Lu, Ke oth Enthalten in Elsevier Jin, Shufeng ELSEVIER Thermal structure optimization of a supercondcuting cavity vertical test cryostat 2019 an official publ. of the International Association for Pattern Recognition Amsterdam [u.a.] (DE-627)ELV003173968 volume:83 year:2016 day:1 month:11 pages:287-293 extent:7 https://doi.org/10.1016/j.patrec.2016.07.008 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 52.43 Kältetechnik VZ 33.09 Physik unter besonderen Bedingungen VZ AR 83 2016 1 1101 287-293 7 045F 004 |
| allfieldsSound |
10.1016/j.patrec.2016.07.008 doi GBVA2016004000005.pica (DE-627)ELV013743252 (ELSEVIER)S0167-8655(16)30170-2 DE-627 ger DE-627 rakwb eng 004 004 DE-600 660 VZ 52.43 bkl 33.09 bkl Wang, Liang verfasserin aut Energy-based automatic recognition of multiple spheres in three-dimensional point cloud 2016 7 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • A novel method for automatic recognition of multiple spheres in 3D point cloud. • It obtains the optimal results by labeling points via minimizing the energy. • It automatically determines the unknown number of spheres. • It alleviates the dependence on distance thresholds. • It has high accuracy and strong robustness. Shen, Chao oth Duan, Fuqing oth Lu, Ke oth Enthalten in Elsevier Jin, Shufeng ELSEVIER Thermal structure optimization of a supercondcuting cavity vertical test cryostat 2019 an official publ. of the International Association for Pattern Recognition Amsterdam [u.a.] (DE-627)ELV003173968 volume:83 year:2016 day:1 month:11 pages:287-293 extent:7 https://doi.org/10.1016/j.patrec.2016.07.008 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 52.43 Kältetechnik VZ 33.09 Physik unter besonderen Bedingungen VZ AR 83 2016 1 1101 287-293 7 045F 004 |
| language |
English |
| source |
Enthalten in Thermal structure optimization of a supercondcuting cavity vertical test cryostat Amsterdam [u.a.] volume:83 year:2016 day:1 month:11 pages:287-293 extent:7 |
| sourceStr |
Enthalten in Thermal structure optimization of a supercondcuting cavity vertical test cryostat Amsterdam [u.a.] volume:83 year:2016 day:1 month:11 pages:287-293 extent:7 |
| format_phy_str_mv |
Article |
| bklname |
Kältetechnik Physik unter besonderen Bedingungen |
| institution |
findex.gbv.de |
| dewey-raw |
004 |
| isfreeaccess_bool |
false |
| container_title |
Thermal structure optimization of a supercondcuting cavity vertical test cryostat |
| authorswithroles_txt_mv |
Wang, Liang @@aut@@ Shen, Chao @@oth@@ Duan, Fuqing @@oth@@ Lu, Ke @@oth@@ |
| publishDateDaySort_date |
2016-01-01T00:00:00Z |
| hierarchy_top_id |
ELV003173968 |
| dewey-sort |
14 |
| id |
ELV013743252 |
| 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">ELV013743252</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230623110803.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180602s2016 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.patrec.2016.07.008</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBVA2016004000005.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV013743252</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0167-8655(16)30170-2</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">004</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">004</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">660</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">52.43</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">33.09</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">Energy-based automatic recognition of multiple spheres in three-dimensional point cloud</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2016</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">7</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">• A novel method for automatic recognition of multiple spheres in 3D point cloud. • It obtains the optimal results by labeling points via minimizing the energy. • It automatically determines the unknown number of spheres. • It alleviates the dependence on distance thresholds. • It has high accuracy and strong robustness.</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="700" ind1="1" ind2=" "><subfield code="a">Lu, Ke</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">Jin, Shufeng ELSEVIER</subfield><subfield code="t">Thermal structure optimization of a supercondcuting cavity vertical test cryostat</subfield><subfield code="d">2019</subfield><subfield code="d">an official publ. of the International Association for Pattern Recognition</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV003173968</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:83</subfield><subfield code="g">year:2016</subfield><subfield code="g">day:1</subfield><subfield code="g">month:11</subfield><subfield code="g">pages:287-293</subfield><subfield code="g">extent:7</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.patrec.2016.07.008</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">SSG-OLC-PHA</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">52.43</subfield><subfield code="j">Kältetechnik</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">33.09</subfield><subfield code="j">Physik unter besonderen Bedingungen</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">83</subfield><subfield code="j">2016</subfield><subfield code="b">1</subfield><subfield code="c">1101</subfield><subfield code="h">287-293</subfield><subfield code="g">7</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">004</subfield></datafield></record></collection>
|
| author |
Wang, Liang |
| spellingShingle |
Wang, Liang ddc 004 ddc 660 bkl 52.43 bkl 33.09 Energy-based automatic recognition of multiple spheres in three-dimensional point cloud |
| authorStr |
Wang, Liang |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV003173968 |
| format |
electronic Article |
| dewey-ones |
004 - Data processing & computer science 660 - Chemical engineering |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
elsevier |
| remote_str |
true |
| illustrated |
Not Illustrated |
| topic_title |
004 004 DE-600 660 VZ 52.43 bkl 33.09 bkl Energy-based automatic recognition of multiple spheres in three-dimensional point cloud |
| topic |
ddc 004 ddc 660 bkl 52.43 bkl 33.09 |
| topic_unstemmed |
ddc 004 ddc 660 bkl 52.43 bkl 33.09 |
| topic_browse |
ddc 004 ddc 660 bkl 52.43 bkl 33.09 |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
zu |
| author2_variant |
c s cs f d fd k l kl |
| hierarchy_parent_title |
Thermal structure optimization of a supercondcuting cavity vertical test cryostat |
| hierarchy_parent_id |
ELV003173968 |
| dewey-tens |
000 - Computer science, knowledge & systems 660 - Chemical engineering |
| hierarchy_top_title |
Thermal structure optimization of a supercondcuting cavity vertical test cryostat |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)ELV003173968 |
| title |
Energy-based automatic recognition of multiple spheres in three-dimensional point cloud |
| ctrlnum |
(DE-627)ELV013743252 (ELSEVIER)S0167-8655(16)30170-2 |
| title_full |
Energy-based automatic recognition of multiple spheres in three-dimensional point cloud |
| author_sort |
Wang, Liang |
| journal |
Thermal structure optimization of a supercondcuting cavity vertical test cryostat |
| journalStr |
Thermal structure optimization of a supercondcuting cavity vertical test cryostat |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
000 - Computer science, information & general works 600 - Technology |
| recordtype |
marc |
| publishDateSort |
2016 |
| contenttype_str_mv |
zzz |
| container_start_page |
287 |
| author_browse |
Wang, Liang |
| container_volume |
83 |
| physical |
7 |
| class |
004 004 DE-600 660 VZ 52.43 bkl 33.09 bkl |
| format_se |
Elektronische Aufsätze |
| author-letter |
Wang, Liang |
| doi_str_mv |
10.1016/j.patrec.2016.07.008 |
| dewey-full |
004 660 |
| title_sort |
energy-based automatic recognition of multiple spheres in three-dimensional point cloud |
| title_auth |
Energy-based automatic recognition of multiple spheres in three-dimensional point cloud |
| abstract |
• A novel method for automatic recognition of multiple spheres in 3D point cloud. • It obtains the optimal results by labeling points via minimizing the energy. • It automatically determines the unknown number of spheres. • It alleviates the dependence on distance thresholds. • It has high accuracy and strong robustness. |
| abstractGer |
• A novel method for automatic recognition of multiple spheres in 3D point cloud. • It obtains the optimal results by labeling points via minimizing the energy. • It automatically determines the unknown number of spheres. • It alleviates the dependence on distance thresholds. • It has high accuracy and strong robustness. |
| abstract_unstemmed |
• A novel method for automatic recognition of multiple spheres in 3D point cloud. • It obtains the optimal results by labeling points via minimizing the energy. • It automatically determines the unknown number of spheres. • It alleviates the dependence on distance thresholds. • It has high accuracy and strong robustness. |
| collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA |
| title_short |
Energy-based automatic recognition of multiple spheres in three-dimensional point cloud |
| url |
https://doi.org/10.1016/j.patrec.2016.07.008 |
| remote_bool |
true |
| author2 |
Shen, Chao Duan, Fuqing Lu, Ke |
| author2Str |
Shen, Chao Duan, Fuqing Lu, Ke |
| ppnlink |
ELV003173968 |
| mediatype_str_mv |
z |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth oth oth |
| doi_str |
10.1016/j.patrec.2016.07.008 |
| up_date |
2024-07-06T19:42:06.355Z |
| _version_ |
1803859972698669056 |
| 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">ELV013743252</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230623110803.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180602s2016 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.patrec.2016.07.008</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBVA2016004000005.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV013743252</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0167-8655(16)30170-2</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">004</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">004</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">660</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">52.43</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">33.09</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">Energy-based automatic recognition of multiple spheres in three-dimensional point cloud</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2016</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">7</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">• A novel method for automatic recognition of multiple spheres in 3D point cloud. • It obtains the optimal results by labeling points via minimizing the energy. • It automatically determines the unknown number of spheres. • It alleviates the dependence on distance thresholds. • It has high accuracy and strong robustness.</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="700" ind1="1" ind2=" "><subfield code="a">Lu, Ke</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">Jin, Shufeng ELSEVIER</subfield><subfield code="t">Thermal structure optimization of a supercondcuting cavity vertical test cryostat</subfield><subfield code="d">2019</subfield><subfield code="d">an official publ. of the International Association for Pattern Recognition</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV003173968</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:83</subfield><subfield code="g">year:2016</subfield><subfield code="g">day:1</subfield><subfield code="g">month:11</subfield><subfield code="g">pages:287-293</subfield><subfield code="g">extent:7</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.patrec.2016.07.008</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">SSG-OLC-PHA</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">52.43</subfield><subfield code="j">Kältetechnik</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">33.09</subfield><subfield code="j">Physik unter besonderen Bedingungen</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">83</subfield><subfield code="j">2016</subfield><subfield code="b">1</subfield><subfield code="c">1101</subfield><subfield code="h">287-293</subfield><subfield code="g">7</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">004</subfield></datafield></record></collection>
|
| score |
7.401662 |