The Measurement of Visual Motion
The analysis of visual motion divides naturally into two stages: the first is the measurement of motion, for example, the assignment of direction and magnitude of velocity to elements in the image, on the basis of the changing intensity pattern; the second is the use of motion measurements, fo...
| Main Authors: | , |
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| Language: | en_US |
| Published: |
2004
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| Online Access: | http://hdl.handle.net/1721.1/6374 |
| _version_ | 1826208341641134080 |
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| author | Hildreth, Ellen C. Ullman, Shimon |
| author_facet | Hildreth, Ellen C. Ullman, Shimon |
| author_sort | Hildreth, Ellen C. |
| collection | MIT |
| description | The analysis of visual motion divides naturally into two stages: the first is the measurement of motion, for example, the assignment of direction and magnitude of velocity to elements in the image, on the basis of the changing intensity pattern; the second is the use of motion measurements, for example, to separate the scene into distinct objects, and infer their three-dimensional structure. In this paper, we present a computational study of the measurement of motion. Similar to other visual processes, the motion of elements is not determined uniquely by information in the changing image; additional constraint is required to compute a unique velocity field. Given this global ambiguity of motion, local measurements from the changing image, such as those provided by directionally-selective simple cells in primate visual cortex, cannot possibly specify a unique local velocity vector, and in fact, specify only one component of velocity. Computation of the full two-dimensional velocity field requires the integration of local motion measurements, either over an area, or along contours in the image. We will examine possible algorithms for computing motion, based on a range of additional constraints. Finally, we will present implications for the biological computation of motion. |
| first_indexed | 2024-09-23T14:03:55Z |
| id | mit-1721.1/6374 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T14:03:55Z |
| publishDate | 2004 |
| record_format | dspace |
| spelling | mit-1721.1/63742019-04-10T09:16:08Z The Measurement of Visual Motion Hildreth, Ellen C. Ullman, Shimon The analysis of visual motion divides naturally into two stages: the first is the measurement of motion, for example, the assignment of direction and magnitude of velocity to elements in the image, on the basis of the changing intensity pattern; the second is the use of motion measurements, for example, to separate the scene into distinct objects, and infer their three-dimensional structure. In this paper, we present a computational study of the measurement of motion. Similar to other visual processes, the motion of elements is not determined uniquely by information in the changing image; additional constraint is required to compute a unique velocity field. Given this global ambiguity of motion, local measurements from the changing image, such as those provided by directionally-selective simple cells in primate visual cortex, cannot possibly specify a unique local velocity vector, and in fact, specify only one component of velocity. Computation of the full two-dimensional velocity field requires the integration of local motion measurements, either over an area, or along contours in the image. We will examine possible algorithms for computing motion, based on a range of additional constraints. Finally, we will present implications for the biological computation of motion. 2004-10-04T14:53:57Z 2004-10-04T14:53:57Z 1982-12-01 AIM-699 http://hdl.handle.net/1721.1/6374 en_US AIM-699 http://hdl.handle.net/1721.1/45554 http://hdl.handle.net/1721.1/45554 11244958 bytes 1709758 bytes application/postscript application/pdf application/postscript application/pdf |
| spellingShingle | Hildreth, Ellen C. Ullman, Shimon The Measurement of Visual Motion |
| title | The Measurement of Visual Motion |
| title_full | The Measurement of Visual Motion |
| title_fullStr | The Measurement of Visual Motion |
| title_full_unstemmed | The Measurement of Visual Motion |
| title_short | The Measurement of Visual Motion |
| title_sort | measurement of visual motion |
| url | http://hdl.handle.net/1721.1/6374 |
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