Stereo and Eye Movement
We describe a method to solve the stereo correspondence using controlled eye (or camera) movements. These eye movements essentially supply additional image frames which can be used to constrain the stereo matching. Because the eye movements are small, traditional methods of stereo with multip...
| Main Authors: | , |
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| Language: | en_US |
| Published: |
2004
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| Subjects: | |
| Online Access: | http://hdl.handle.net/1721.3/5511 |
| _version_ | 1826202157294026752 |
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| author | Geiger, Davi Yuille, Alan |
| author_facet | Geiger, Davi Yuille, Alan |
| author_sort | Geiger, Davi |
| collection | MIT |
| description | We describe a method to solve the stereo correspondence using controlled eye (or camera) movements. These eye movements essentially supply additional image frames which can be used to constrain the stereo matching. Because the eye movements are small, traditional methods of stereo with multiple frames will not work. We develop an alternative approach using a systematic analysis to define a probability distribution for the errors. Our matching strategy then matches the most probable points first, thereby reducing the ambiguity for the remaining matches. We demonstrate this algorithm with several examples. |
| first_indexed | 2024-09-23T12:03:25Z |
| id | mit-1721.1/5511 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T12:03:25Z |
| publishDate | 2004 |
| record_format | dspace |
| spelling | mit-1721.1/55112019-04-12T08:25:05Z Stereo and Eye Movement Geiger, Davi Yuille, Alan stereo error analysis eye movement controlled movement We describe a method to solve the stereo correspondence using controlled eye (or camera) movements. These eye movements essentially supply additional image frames which can be used to constrain the stereo matching. Because the eye movements are small, traditional methods of stereo with multiple frames will not work. We develop an alternative approach using a systematic analysis to define a probability distribution for the errors. Our matching strategy then matches the most probable points first, thereby reducing the ambiguity for the remaining matches. We demonstrate this algorithm with several examples. 2004-08-31T18:12:06Z 2004-08-31T18:12:06Z 1988-01-01 AIM-927 http://hdl.handle.net/1721.3/5511 en_US AIM-927 35 p. 3943870 bytes 1457038 bytes application/postscript application/pdf application/postscript application/pdf |
| spellingShingle | stereo error analysis eye movement controlled movement Geiger, Davi Yuille, Alan Stereo and Eye Movement |
| title | Stereo and Eye Movement |
| title_full | Stereo and Eye Movement |
| title_fullStr | Stereo and Eye Movement |
| title_full_unstemmed | Stereo and Eye Movement |
| title_short | Stereo and Eye Movement |
| title_sort | stereo and eye movement |
| topic | stereo error analysis eye movement controlled movement |
| url | http://hdl.handle.net/1721.3/5511 |
| work_keys_str_mv | AT geigerdavi stereoandeyemovement AT yuillealan stereoandeyemovement |