A discriminant method of single-optical-axis omnidirectional vision system
Abstract Generally, due to the instrumental error of omnidirectional camera, it is very difficult to satisfy the standard single-optical-axis request. Thus, it is necessary to evaluate whether a single-optical-axis camera lens is aligned or has tangent distortion. In this paper, we propose a discrim...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Tian, Peng [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2018 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media, LLC, part of Springer Nature 2018 |
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| Übergeordnetes Werk: |
Enthalten in: Multimedia tools and applications - Springer US, 1995, 78(2018), 1 vom: 31. Juli, Seite 1117-1130 |
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volume:78 ; year:2018 ; number:1 ; day:31 ; month:07 ; pages:1117-1130 |
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10.1007/s11042-018-6397-3 |
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10.1007/s11042-018-6397-3 doi (DE-627)OLC2035057043 (DE-He213)s11042-018-6397-3-p DE-627 ger DE-627 rakwb eng 070 004 VZ Tian, Peng verfasserin aut A discriminant method of single-optical-axis omnidirectional vision system 2018 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract Generally, due to the instrumental error of omnidirectional camera, it is very difficult to satisfy the standard single-optical-axis request. Thus, it is necessary to evaluate whether a single-optical-axis camera lens is aligned or has tangent distortion. In this paper, we propose a discriminant function of single-optical-axis omnidirectional vision system based on checkerboard, which is only related to the image points and does not involve any camera parameters. Firstly, under single-optical-axis omnidirectional camera, the geometric invariance among image points of collinear and equidistant space points is derived. Next, based on the derived geometric invariance in a single image, we construct the object function to discriminate the standard single-optical-axis omnidirectional camera. Finally, a discriminant method of single-optical-axis omnidirectional vision system is proposed based on the checkerboard. Experimental results on both simulated and real data have demonstrated the usefulness and effectiveness of our method. Single-optical-axis Omnidirectional vision system Cross ratio Projective invariance Duan, Huixian aut Enthalten in Multimedia tools and applications Springer US, 1995 78(2018), 1 vom: 31. Juli, Seite 1117-1130 (DE-627)189064145 (DE-600)1287642-2 (DE-576)052842126 1380-7501 nnns volume:78 year:2018 number:1 day:31 month:07 pages:1117-1130 https://doi.org/10.1007/s11042-018-6397-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-BUB SSG-OLC-MKW GBV_ILN_70 AR 78 2018 1 31 07 1117-1130 |
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10.1007/s11042-018-6397-3 doi (DE-627)OLC2035057043 (DE-He213)s11042-018-6397-3-p DE-627 ger DE-627 rakwb eng 070 004 VZ Tian, Peng verfasserin aut A discriminant method of single-optical-axis omnidirectional vision system 2018 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract Generally, due to the instrumental error of omnidirectional camera, it is very difficult to satisfy the standard single-optical-axis request. Thus, it is necessary to evaluate whether a single-optical-axis camera lens is aligned or has tangent distortion. In this paper, we propose a discriminant function of single-optical-axis omnidirectional vision system based on checkerboard, which is only related to the image points and does not involve any camera parameters. Firstly, under single-optical-axis omnidirectional camera, the geometric invariance among image points of collinear and equidistant space points is derived. Next, based on the derived geometric invariance in a single image, we construct the object function to discriminate the standard single-optical-axis omnidirectional camera. Finally, a discriminant method of single-optical-axis omnidirectional vision system is proposed based on the checkerboard. Experimental results on both simulated and real data have demonstrated the usefulness and effectiveness of our method. Single-optical-axis Omnidirectional vision system Cross ratio Projective invariance Duan, Huixian aut Enthalten in Multimedia tools and applications Springer US, 1995 78(2018), 1 vom: 31. Juli, Seite 1117-1130 (DE-627)189064145 (DE-600)1287642-2 (DE-576)052842126 1380-7501 nnns volume:78 year:2018 number:1 day:31 month:07 pages:1117-1130 https://doi.org/10.1007/s11042-018-6397-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-BUB SSG-OLC-MKW GBV_ILN_70 AR 78 2018 1 31 07 1117-1130 |
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Abstract Generally, due to the instrumental error of omnidirectional camera, it is very difficult to satisfy the standard single-optical-axis request. Thus, it is necessary to evaluate whether a single-optical-axis camera lens is aligned or has tangent distortion. In this paper, we propose a discriminant function of single-optical-axis omnidirectional vision system based on checkerboard, which is only related to the image points and does not involve any camera parameters. Firstly, under single-optical-axis omnidirectional camera, the geometric invariance among image points of collinear and equidistant space points is derived. Next, based on the derived geometric invariance in a single image, we construct the object function to discriminate the standard single-optical-axis omnidirectional camera. Finally, a discriminant method of single-optical-axis omnidirectional vision system is proposed based on the checkerboard. Experimental results on both simulated and real data have demonstrated the usefulness and effectiveness of our method. © Springer Science+Business Media, LLC, part of Springer Nature 2018 |
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Abstract Generally, due to the instrumental error of omnidirectional camera, it is very difficult to satisfy the standard single-optical-axis request. Thus, it is necessary to evaluate whether a single-optical-axis camera lens is aligned or has tangent distortion. In this paper, we propose a discriminant function of single-optical-axis omnidirectional vision system based on checkerboard, which is only related to the image points and does not involve any camera parameters. Firstly, under single-optical-axis omnidirectional camera, the geometric invariance among image points of collinear and equidistant space points is derived. Next, based on the derived geometric invariance in a single image, we construct the object function to discriminate the standard single-optical-axis omnidirectional camera. Finally, a discriminant method of single-optical-axis omnidirectional vision system is proposed based on the checkerboard. Experimental results on both simulated and real data have demonstrated the usefulness and effectiveness of our method. © Springer Science+Business Media, LLC, part of Springer Nature 2018 |
| abstract_unstemmed |
Abstract Generally, due to the instrumental error of omnidirectional camera, it is very difficult to satisfy the standard single-optical-axis request. Thus, it is necessary to evaluate whether a single-optical-axis camera lens is aligned or has tangent distortion. In this paper, we propose a discriminant function of single-optical-axis omnidirectional vision system based on checkerboard, which is only related to the image points and does not involve any camera parameters. Firstly, under single-optical-axis omnidirectional camera, the geometric invariance among image points of collinear and equidistant space points is derived. Next, based on the derived geometric invariance in a single image, we construct the object function to discriminate the standard single-optical-axis omnidirectional camera. Finally, a discriminant method of single-optical-axis omnidirectional vision system is proposed based on the checkerboard. Experimental results on both simulated and real data have demonstrated the usefulness and effectiveness of our method. © Springer Science+Business Media, LLC, part of Springer Nature 2018 |
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Duan, Huixian |
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189064145 |
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n |
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false |
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| doi_str |
10.1007/s11042-018-6397-3 |
| up_date |
2024-07-03T23:38:01.889Z |
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