The role of fixation in visual motion analysis
Abstract How does the ability of humans and primates to fixate at environmental points in the presence of relative motion help their visual systems in solving various tasks? To state the question in a more formal setting, we investigate in this article the following problem: Suppose that we have an...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Fermüller, Cornelia [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
1993 |
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| Schlagwörter: |
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| Anmerkung: |
© Kluwer Academic Publishers 1993 |
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| Übergeordnetes Werk: |
Enthalten in: International journal of computer vision - Kluwer Academic Publishers, 1987, 11(1993), 2 vom: Okt., Seite 165-186 |
|---|---|
| Übergeordnetes Werk: |
volume:11 ; year:1993 ; number:2 ; month:10 ; pages:165-186 |
| Links: |
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| DOI / URN: |
10.1007/BF01469227 |
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| 520 | |a Abstract How does the ability of humans and primates to fixate at environmental points in the presence of relative motion help their visual systems in solving various tasks? To state the question in a more formal setting, we investigate in this article the following problem: Suppose that we have an active vision system, that is, a camera resting on a platform and being controlled through motors by a computer that has access to the images sensed by the camera in real time. The platform can move freely in the environment. If this machine can fixate on targets being in relative motion with it, can it solve visual tasks in an efficient and robust manner? By restricting our attention to a set of navigational tasks, we find that such an active observer can solve the problems of 3-D motion estimation, egomotion recovery, and estimation of time-to-contact in a very efficient manner, using as input the spatiotemporal derivatives of the image-intensity function (or normal flow). Fixation over time changes the input (motion field) in a controlled way and from this change additional information is derived making the previously mentioned tasks easier to solve. | ||
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10.1007/BF01469227 doi (DE-627)OLC2057733661 (DE-He213)BF01469227-p DE-627 ger DE-627 rakwb eng 004 VZ Fermüller, Cornelia verfasserin aut The role of fixation in visual motion analysis 1993 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Kluwer Academic Publishers 1993 Abstract How does the ability of humans and primates to fixate at environmental points in the presence of relative motion help their visual systems in solving various tasks? To state the question in a more formal setting, we investigate in this article the following problem: Suppose that we have an active vision system, that is, a camera resting on a platform and being controlled through motors by a computer that has access to the images sensed by the camera in real time. The platform can move freely in the environment. If this machine can fixate on targets being in relative motion with it, can it solve visual tasks in an efficient and robust manner? By restricting our attention to a set of navigational tasks, we find that such an active observer can solve the problems of 3-D motion estimation, egomotion recovery, and estimation of time-to-contact in a very efficient manner, using as input the spatiotemporal derivatives of the image-intensity function (or normal flow). Fixation over time changes the input (motion field) in a controlled way and from this change additional information is derived making the previously mentioned tasks easier to solve. Computer Vision Vision System Computer Image Relative Motion Motion Estimation Aloimonos, Yiannis aut Enthalten in International journal of computer vision Kluwer Academic Publishers, 1987 11(1993), 2 vom: Okt., Seite 165-186 (DE-627)129354252 (DE-600)155895-X (DE-576)018081428 0920-5691 nnns volume:11 year:1993 number:2 month:10 pages:165-186 https://doi.org/10.1007/BF01469227 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_22 GBV_ILN_24 GBV_ILN_70 GBV_ILN_130 GBV_ILN_2012 GBV_ILN_2190 GBV_ILN_2244 GBV_ILN_2409 GBV_ILN_4046 GBV_ILN_4307 GBV_ILN_4310 GBV_ILN_4700 AR 11 1993 2 10 165-186 |
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10.1007/BF01469227 doi (DE-627)OLC2057733661 (DE-He213)BF01469227-p DE-627 ger DE-627 rakwb eng 004 VZ Fermüller, Cornelia verfasserin aut The role of fixation in visual motion analysis 1993 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Kluwer Academic Publishers 1993 Abstract How does the ability of humans and primates to fixate at environmental points in the presence of relative motion help their visual systems in solving various tasks? To state the question in a more formal setting, we investigate in this article the following problem: Suppose that we have an active vision system, that is, a camera resting on a platform and being controlled through motors by a computer that has access to the images sensed by the camera in real time. The platform can move freely in the environment. If this machine can fixate on targets being in relative motion with it, can it solve visual tasks in an efficient and robust manner? By restricting our attention to a set of navigational tasks, we find that such an active observer can solve the problems of 3-D motion estimation, egomotion recovery, and estimation of time-to-contact in a very efficient manner, using as input the spatiotemporal derivatives of the image-intensity function (or normal flow). Fixation over time changes the input (motion field) in a controlled way and from this change additional information is derived making the previously mentioned tasks easier to solve. Computer Vision Vision System Computer Image Relative Motion Motion Estimation Aloimonos, Yiannis aut Enthalten in International journal of computer vision Kluwer Academic Publishers, 1987 11(1993), 2 vom: Okt., Seite 165-186 (DE-627)129354252 (DE-600)155895-X (DE-576)018081428 0920-5691 nnns volume:11 year:1993 number:2 month:10 pages:165-186 https://doi.org/10.1007/BF01469227 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_22 GBV_ILN_24 GBV_ILN_70 GBV_ILN_130 GBV_ILN_2012 GBV_ILN_2190 GBV_ILN_2244 GBV_ILN_2409 GBV_ILN_4046 GBV_ILN_4307 GBV_ILN_4310 GBV_ILN_4700 AR 11 1993 2 10 165-186 |
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10.1007/BF01469227 doi (DE-627)OLC2057733661 (DE-He213)BF01469227-p DE-627 ger DE-627 rakwb eng 004 VZ Fermüller, Cornelia verfasserin aut The role of fixation in visual motion analysis 1993 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Kluwer Academic Publishers 1993 Abstract How does the ability of humans and primates to fixate at environmental points in the presence of relative motion help their visual systems in solving various tasks? To state the question in a more formal setting, we investigate in this article the following problem: Suppose that we have an active vision system, that is, a camera resting on a platform and being controlled through motors by a computer that has access to the images sensed by the camera in real time. The platform can move freely in the environment. If this machine can fixate on targets being in relative motion with it, can it solve visual tasks in an efficient and robust manner? By restricting our attention to a set of navigational tasks, we find that such an active observer can solve the problems of 3-D motion estimation, egomotion recovery, and estimation of time-to-contact in a very efficient manner, using as input the spatiotemporal derivatives of the image-intensity function (or normal flow). Fixation over time changes the input (motion field) in a controlled way and from this change additional information is derived making the previously mentioned tasks easier to solve. Computer Vision Vision System Computer Image Relative Motion Motion Estimation Aloimonos, Yiannis aut Enthalten in International journal of computer vision Kluwer Academic Publishers, 1987 11(1993), 2 vom: Okt., Seite 165-186 (DE-627)129354252 (DE-600)155895-X (DE-576)018081428 0920-5691 nnns volume:11 year:1993 number:2 month:10 pages:165-186 https://doi.org/10.1007/BF01469227 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_22 GBV_ILN_24 GBV_ILN_70 GBV_ILN_130 GBV_ILN_2012 GBV_ILN_2190 GBV_ILN_2244 GBV_ILN_2409 GBV_ILN_4046 GBV_ILN_4307 GBV_ILN_4310 GBV_ILN_4700 AR 11 1993 2 10 165-186 |
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10.1007/BF01469227 doi (DE-627)OLC2057733661 (DE-He213)BF01469227-p DE-627 ger DE-627 rakwb eng 004 VZ Fermüller, Cornelia verfasserin aut The role of fixation in visual motion analysis 1993 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Kluwer Academic Publishers 1993 Abstract How does the ability of humans and primates to fixate at environmental points in the presence of relative motion help their visual systems in solving various tasks? To state the question in a more formal setting, we investigate in this article the following problem: Suppose that we have an active vision system, that is, a camera resting on a platform and being controlled through motors by a computer that has access to the images sensed by the camera in real time. The platform can move freely in the environment. If this machine can fixate on targets being in relative motion with it, can it solve visual tasks in an efficient and robust manner? By restricting our attention to a set of navigational tasks, we find that such an active observer can solve the problems of 3-D motion estimation, egomotion recovery, and estimation of time-to-contact in a very efficient manner, using as input the spatiotemporal derivatives of the image-intensity function (or normal flow). Fixation over time changes the input (motion field) in a controlled way and from this change additional information is derived making the previously mentioned tasks easier to solve. Computer Vision Vision System Computer Image Relative Motion Motion Estimation Aloimonos, Yiannis aut Enthalten in International journal of computer vision Kluwer Academic Publishers, 1987 11(1993), 2 vom: Okt., Seite 165-186 (DE-627)129354252 (DE-600)155895-X (DE-576)018081428 0920-5691 nnns volume:11 year:1993 number:2 month:10 pages:165-186 https://doi.org/10.1007/BF01469227 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_22 GBV_ILN_24 GBV_ILN_70 GBV_ILN_130 GBV_ILN_2012 GBV_ILN_2190 GBV_ILN_2244 GBV_ILN_2409 GBV_ILN_4046 GBV_ILN_4307 GBV_ILN_4310 GBV_ILN_4700 AR 11 1993 2 10 165-186 |
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10.1007/BF01469227 doi (DE-627)OLC2057733661 (DE-He213)BF01469227-p DE-627 ger DE-627 rakwb eng 004 VZ Fermüller, Cornelia verfasserin aut The role of fixation in visual motion analysis 1993 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Kluwer Academic Publishers 1993 Abstract How does the ability of humans and primates to fixate at environmental points in the presence of relative motion help their visual systems in solving various tasks? To state the question in a more formal setting, we investigate in this article the following problem: Suppose that we have an active vision system, that is, a camera resting on a platform and being controlled through motors by a computer that has access to the images sensed by the camera in real time. The platform can move freely in the environment. If this machine can fixate on targets being in relative motion with it, can it solve visual tasks in an efficient and robust manner? By restricting our attention to a set of navigational tasks, we find that such an active observer can solve the problems of 3-D motion estimation, egomotion recovery, and estimation of time-to-contact in a very efficient manner, using as input the spatiotemporal derivatives of the image-intensity function (or normal flow). Fixation over time changes the input (motion field) in a controlled way and from this change additional information is derived making the previously mentioned tasks easier to solve. Computer Vision Vision System Computer Image Relative Motion Motion Estimation Aloimonos, Yiannis aut Enthalten in International journal of computer vision Kluwer Academic Publishers, 1987 11(1993), 2 vom: Okt., Seite 165-186 (DE-627)129354252 (DE-600)155895-X (DE-576)018081428 0920-5691 nnns volume:11 year:1993 number:2 month:10 pages:165-186 https://doi.org/10.1007/BF01469227 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_22 GBV_ILN_24 GBV_ILN_70 GBV_ILN_130 GBV_ILN_2012 GBV_ILN_2190 GBV_ILN_2244 GBV_ILN_2409 GBV_ILN_4046 GBV_ILN_4307 GBV_ILN_4310 GBV_ILN_4700 AR 11 1993 2 10 165-186 |
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Abstract How does the ability of humans and primates to fixate at environmental points in the presence of relative motion help their visual systems in solving various tasks? To state the question in a more formal setting, we investigate in this article the following problem: Suppose that we have an active vision system, that is, a camera resting on a platform and being controlled through motors by a computer that has access to the images sensed by the camera in real time. The platform can move freely in the environment. If this machine can fixate on targets being in relative motion with it, can it solve visual tasks in an efficient and robust manner? By restricting our attention to a set of navigational tasks, we find that such an active observer can solve the problems of 3-D motion estimation, egomotion recovery, and estimation of time-to-contact in a very efficient manner, using as input the spatiotemporal derivatives of the image-intensity function (or normal flow). Fixation over time changes the input (motion field) in a controlled way and from this change additional information is derived making the previously mentioned tasks easier to solve. © Kluwer Academic Publishers 1993 |
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Abstract How does the ability of humans and primates to fixate at environmental points in the presence of relative motion help their visual systems in solving various tasks? To state the question in a more formal setting, we investigate in this article the following problem: Suppose that we have an active vision system, that is, a camera resting on a platform and being controlled through motors by a computer that has access to the images sensed by the camera in real time. The platform can move freely in the environment. If this machine can fixate on targets being in relative motion with it, can it solve visual tasks in an efficient and robust manner? By restricting our attention to a set of navigational tasks, we find that such an active observer can solve the problems of 3-D motion estimation, egomotion recovery, and estimation of time-to-contact in a very efficient manner, using as input the spatiotemporal derivatives of the image-intensity function (or normal flow). Fixation over time changes the input (motion field) in a controlled way and from this change additional information is derived making the previously mentioned tasks easier to solve. © Kluwer Academic Publishers 1993 |
| abstract_unstemmed |
Abstract How does the ability of humans and primates to fixate at environmental points in the presence of relative motion help their visual systems in solving various tasks? To state the question in a more formal setting, we investigate in this article the following problem: Suppose that we have an active vision system, that is, a camera resting on a platform and being controlled through motors by a computer that has access to the images sensed by the camera in real time. The platform can move freely in the environment. If this machine can fixate on targets being in relative motion with it, can it solve visual tasks in an efficient and robust manner? By restricting our attention to a set of navigational tasks, we find that such an active observer can solve the problems of 3-D motion estimation, egomotion recovery, and estimation of time-to-contact in a very efficient manner, using as input the spatiotemporal derivatives of the image-intensity function (or normal flow). Fixation over time changes the input (motion field) in a controlled way and from this change additional information is derived making the previously mentioned tasks easier to solve. © Kluwer Academic Publishers 1993 |
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The role of fixation in visual motion analysis |
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Aloimonos, Yiannis |
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