The dynamic retina: Contrast and motion detection for active vision
Abstract This paper presents an efficient, biologically-inspired early vision architecture, the dynamic retina, that is well-suited to highly active and responsive vision platforms. The dynamic retina exploits normally undesirable camera motion as a necessary step in detecting image contrast, by usi...
Ausführliche Beschreibung
Autor*in: |
Prokopowicz, Peter N. [verfasserIn] |
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Format: |
Artikel |
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Sprache: |
Englisch |
Erschienen: |
1995 |
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Schlagwörter: |
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Anmerkung: |
© Kluwer Academic Publishers 1995 |
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Übergeordnetes Werk: |
Enthalten in: International journal of computer vision - Kluwer Academic Publishers, 1987, 16(1995), 3 vom: Nov., Seite 191-204 |
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Übergeordnetes Werk: |
volume:16 ; year:1995 ; number:3 ; month:11 ; pages:191-204 |
Links: |
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DOI / URN: |
10.1007/BF01539626 |
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10.1007/BF01539626 doi (DE-627)OLC2057734366 (DE-He213)BF01539626-p DE-627 ger DE-627 rakwb eng 004 VZ Prokopowicz, Peter N. verfasserin aut The dynamic retina: Contrast and motion detection for active vision 1995 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Kluwer Academic Publishers 1995 Abstract This paper presents an efficient, biologically-inspired early vision architecture, the dynamic retina, that is well-suited to highly active and responsive vision platforms. The dynamic retina exploits normally undesirable camera motion as a necessary step in detecting image contrast, by using dynamic receptive fields instead of traditional spatial-neighborhood operators. We analyze the continuous miniature “noise” movements made by active imaging systems, and show that they can be exploited to detect contrast. We then develop an appropriate photoreceptor response function, based on light-adaptation models for vertebrate receptors. Together, the movements and response function over time compute image contrast. The dynamic retina is also useful for motion analysis, since moving objects processed by the system leave a clear signature from which motion parameters can be extracted. Results from a number of experiments with real video sequences demonstrate the effectiveness of the system for both contrast detection and motion analysis. Video Sequence Receptive Field Image Contrast Motion Analysis Motion Detection Cooper, Paul R. aut Enthalten in International journal of computer vision Kluwer Academic Publishers, 1987 16(1995), 3 vom: Nov., Seite 191-204 (DE-627)129354252 (DE-600)155895-X (DE-576)018081428 0920-5691 nnns volume:16 year:1995 number:3 month:11 pages:191-204 https://doi.org/10.1007/BF01539626 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_70 GBV_ILN_130 GBV_ILN_2012 GBV_ILN_2016 GBV_ILN_2190 GBV_ILN_2244 GBV_ILN_2409 GBV_ILN_4046 GBV_ILN_4307 GBV_ILN_4310 GBV_ILN_4700 AR 16 1995 3 11 191-204 |
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10.1007/BF01539626 doi (DE-627)OLC2057734366 (DE-He213)BF01539626-p DE-627 ger DE-627 rakwb eng 004 VZ Prokopowicz, Peter N. verfasserin aut The dynamic retina: Contrast and motion detection for active vision 1995 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Kluwer Academic Publishers 1995 Abstract This paper presents an efficient, biologically-inspired early vision architecture, the dynamic retina, that is well-suited to highly active and responsive vision platforms. The dynamic retina exploits normally undesirable camera motion as a necessary step in detecting image contrast, by using dynamic receptive fields instead of traditional spatial-neighborhood operators. We analyze the continuous miniature “noise” movements made by active imaging systems, and show that they can be exploited to detect contrast. We then develop an appropriate photoreceptor response function, based on light-adaptation models for vertebrate receptors. Together, the movements and response function over time compute image contrast. The dynamic retina is also useful for motion analysis, since moving objects processed by the system leave a clear signature from which motion parameters can be extracted. Results from a number of experiments with real video sequences demonstrate the effectiveness of the system for both contrast detection and motion analysis. Video Sequence Receptive Field Image Contrast Motion Analysis Motion Detection Cooper, Paul R. aut Enthalten in International journal of computer vision Kluwer Academic Publishers, 1987 16(1995), 3 vom: Nov., Seite 191-204 (DE-627)129354252 (DE-600)155895-X (DE-576)018081428 0920-5691 nnns volume:16 year:1995 number:3 month:11 pages:191-204 https://doi.org/10.1007/BF01539626 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_70 GBV_ILN_130 GBV_ILN_2012 GBV_ILN_2016 GBV_ILN_2190 GBV_ILN_2244 GBV_ILN_2409 GBV_ILN_4046 GBV_ILN_4307 GBV_ILN_4310 GBV_ILN_4700 AR 16 1995 3 11 191-204 |
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10.1007/BF01539626 doi (DE-627)OLC2057734366 (DE-He213)BF01539626-p DE-627 ger DE-627 rakwb eng 004 VZ Prokopowicz, Peter N. verfasserin aut The dynamic retina: Contrast and motion detection for active vision 1995 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Kluwer Academic Publishers 1995 Abstract This paper presents an efficient, biologically-inspired early vision architecture, the dynamic retina, that is well-suited to highly active and responsive vision platforms. The dynamic retina exploits normally undesirable camera motion as a necessary step in detecting image contrast, by using dynamic receptive fields instead of traditional spatial-neighborhood operators. We analyze the continuous miniature “noise” movements made by active imaging systems, and show that they can be exploited to detect contrast. We then develop an appropriate photoreceptor response function, based on light-adaptation models for vertebrate receptors. Together, the movements and response function over time compute image contrast. The dynamic retina is also useful for motion analysis, since moving objects processed by the system leave a clear signature from which motion parameters can be extracted. Results from a number of experiments with real video sequences demonstrate the effectiveness of the system for both contrast detection and motion analysis. Video Sequence Receptive Field Image Contrast Motion Analysis Motion Detection Cooper, Paul R. aut Enthalten in International journal of computer vision Kluwer Academic Publishers, 1987 16(1995), 3 vom: Nov., Seite 191-204 (DE-627)129354252 (DE-600)155895-X (DE-576)018081428 0920-5691 nnns volume:16 year:1995 number:3 month:11 pages:191-204 https://doi.org/10.1007/BF01539626 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_70 GBV_ILN_130 GBV_ILN_2012 GBV_ILN_2016 GBV_ILN_2190 GBV_ILN_2244 GBV_ILN_2409 GBV_ILN_4046 GBV_ILN_4307 GBV_ILN_4310 GBV_ILN_4700 AR 16 1995 3 11 191-204 |
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10.1007/BF01539626 doi (DE-627)OLC2057734366 (DE-He213)BF01539626-p DE-627 ger DE-627 rakwb eng 004 VZ Prokopowicz, Peter N. verfasserin aut The dynamic retina: Contrast and motion detection for active vision 1995 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Kluwer Academic Publishers 1995 Abstract This paper presents an efficient, biologically-inspired early vision architecture, the dynamic retina, that is well-suited to highly active and responsive vision platforms. The dynamic retina exploits normally undesirable camera motion as a necessary step in detecting image contrast, by using dynamic receptive fields instead of traditional spatial-neighborhood operators. We analyze the continuous miniature “noise” movements made by active imaging systems, and show that they can be exploited to detect contrast. We then develop an appropriate photoreceptor response function, based on light-adaptation models for vertebrate receptors. Together, the movements and response function over time compute image contrast. The dynamic retina is also useful for motion analysis, since moving objects processed by the system leave a clear signature from which motion parameters can be extracted. Results from a number of experiments with real video sequences demonstrate the effectiveness of the system for both contrast detection and motion analysis. Video Sequence Receptive Field Image Contrast Motion Analysis Motion Detection Cooper, Paul R. aut Enthalten in International journal of computer vision Kluwer Academic Publishers, 1987 16(1995), 3 vom: Nov., Seite 191-204 (DE-627)129354252 (DE-600)155895-X (DE-576)018081428 0920-5691 nnns volume:16 year:1995 number:3 month:11 pages:191-204 https://doi.org/10.1007/BF01539626 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_70 GBV_ILN_130 GBV_ILN_2012 GBV_ILN_2016 GBV_ILN_2190 GBV_ILN_2244 GBV_ILN_2409 GBV_ILN_4046 GBV_ILN_4307 GBV_ILN_4310 GBV_ILN_4700 AR 16 1995 3 11 191-204 |
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10.1007/BF01539626 doi (DE-627)OLC2057734366 (DE-He213)BF01539626-p DE-627 ger DE-627 rakwb eng 004 VZ Prokopowicz, Peter N. verfasserin aut The dynamic retina: Contrast and motion detection for active vision 1995 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Kluwer Academic Publishers 1995 Abstract This paper presents an efficient, biologically-inspired early vision architecture, the dynamic retina, that is well-suited to highly active and responsive vision platforms. The dynamic retina exploits normally undesirable camera motion as a necessary step in detecting image contrast, by using dynamic receptive fields instead of traditional spatial-neighborhood operators. We analyze the continuous miniature “noise” movements made by active imaging systems, and show that they can be exploited to detect contrast. We then develop an appropriate photoreceptor response function, based on light-adaptation models for vertebrate receptors. Together, the movements and response function over time compute image contrast. The dynamic retina is also useful for motion analysis, since moving objects processed by the system leave a clear signature from which motion parameters can be extracted. Results from a number of experiments with real video sequences demonstrate the effectiveness of the system for both contrast detection and motion analysis. Video Sequence Receptive Field Image Contrast Motion Analysis Motion Detection Cooper, Paul R. aut Enthalten in International journal of computer vision Kluwer Academic Publishers, 1987 16(1995), 3 vom: Nov., Seite 191-204 (DE-627)129354252 (DE-600)155895-X (DE-576)018081428 0920-5691 nnns volume:16 year:1995 number:3 month:11 pages:191-204 https://doi.org/10.1007/BF01539626 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_70 GBV_ILN_130 GBV_ILN_2012 GBV_ILN_2016 GBV_ILN_2190 GBV_ILN_2244 GBV_ILN_2409 GBV_ILN_4046 GBV_ILN_4307 GBV_ILN_4310 GBV_ILN_4700 AR 16 1995 3 11 191-204 |
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Abstract This paper presents an efficient, biologically-inspired early vision architecture, the dynamic retina, that is well-suited to highly active and responsive vision platforms. The dynamic retina exploits normally undesirable camera motion as a necessary step in detecting image contrast, by using dynamic receptive fields instead of traditional spatial-neighborhood operators. We analyze the continuous miniature “noise” movements made by active imaging systems, and show that they can be exploited to detect contrast. We then develop an appropriate photoreceptor response function, based on light-adaptation models for vertebrate receptors. Together, the movements and response function over time compute image contrast. The dynamic retina is also useful for motion analysis, since moving objects processed by the system leave a clear signature from which motion parameters can be extracted. Results from a number of experiments with real video sequences demonstrate the effectiveness of the system for both contrast detection and motion analysis. © Kluwer Academic Publishers 1995 |
abstractGer |
Abstract This paper presents an efficient, biologically-inspired early vision architecture, the dynamic retina, that is well-suited to highly active and responsive vision platforms. The dynamic retina exploits normally undesirable camera motion as a necessary step in detecting image contrast, by using dynamic receptive fields instead of traditional spatial-neighborhood operators. We analyze the continuous miniature “noise” movements made by active imaging systems, and show that they can be exploited to detect contrast. We then develop an appropriate photoreceptor response function, based on light-adaptation models for vertebrate receptors. Together, the movements and response function over time compute image contrast. The dynamic retina is also useful for motion analysis, since moving objects processed by the system leave a clear signature from which motion parameters can be extracted. Results from a number of experiments with real video sequences demonstrate the effectiveness of the system for both contrast detection and motion analysis. © Kluwer Academic Publishers 1995 |
abstract_unstemmed |
Abstract This paper presents an efficient, biologically-inspired early vision architecture, the dynamic retina, that is well-suited to highly active and responsive vision platforms. The dynamic retina exploits normally undesirable camera motion as a necessary step in detecting image contrast, by using dynamic receptive fields instead of traditional spatial-neighborhood operators. We analyze the continuous miniature “noise” movements made by active imaging systems, and show that they can be exploited to detect contrast. We then develop an appropriate photoreceptor response function, based on light-adaptation models for vertebrate receptors. Together, the movements and response function over time compute image contrast. The dynamic retina is also useful for motion analysis, since moving objects processed by the system leave a clear signature from which motion parameters can be extracted. Results from a number of experiments with real video sequences demonstrate the effectiveness of the system for both contrast detection and motion analysis. © Kluwer Academic Publishers 1995 |
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title_short |
The dynamic retina: Contrast and motion detection for active vision |
url |
https://doi.org/10.1007/BF01539626 |
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author2 |
Cooper, Paul R. |
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Cooper, Paul R. |
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up_date |
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