Determining Optical Flow
Optical flow cannot be computed locally, since only one independent measurement is available from the image sequence at a point, while the flow velocity has two components. A second constraint is needed. A method for finding the optical flow pattern is presented which assumes that the apparen...
| Main Authors: | , |
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| Language: | en_US |
| Published: |
2004
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| Online Access: | http://hdl.handle.net/1721.1/6337 |
| _version_ | 1826215213070811136 |
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| author | Horn, Berthold K.P. Schunck, Brian G. |
| author_facet | Horn, Berthold K.P. Schunck, Brian G. |
| author_sort | Horn, Berthold K.P. |
| collection | MIT |
| description | Optical flow cannot be computed locally, since only one independent measurement is available from the image sequence at a point, while the flow velocity has two components. A second constraint is needed. A method for finding the optical flow pattern is presented which assumes that the apparent velocity of the brightness pattern varies smoothly almost everywhere in the image. An iterative implementation is shown which successfully computes the optical flow for a number of synthetic image sequences. The algorithm is robust in that it can handle image sequences that are quantized rather coarsely in space and time. It is also insensitive to quantization of brightness levels and additive noise. Examples are included where the assumption of smoothness is violated at singular points or along lines in the image. |
| first_indexed | 2024-09-23T16:19:10Z |
| id | mit-1721.1/6337 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T16:19:10Z |
| publishDate | 2004 |
| record_format | dspace |
| spelling | mit-1721.1/63372019-04-12T09:43:50Z Determining Optical Flow Horn, Berthold K.P. Schunck, Brian G. Optical flow cannot be computed locally, since only one independent measurement is available from the image sequence at a point, while the flow velocity has two components. A second constraint is needed. A method for finding the optical flow pattern is presented which assumes that the apparent velocity of the brightness pattern varies smoothly almost everywhere in the image. An iterative implementation is shown which successfully computes the optical flow for a number of synthetic image sequences. The algorithm is robust in that it can handle image sequences that are quantized rather coarsely in space and time. It is also insensitive to quantization of brightness levels and additive noise. Examples are included where the assumption of smoothness is violated at singular points or along lines in the image. 2004-10-04T14:52:09Z 2004-10-04T14:52:09Z 1980-04-01 AIM-572 http://hdl.handle.net/1721.1/6337 en_US AIM-572 1973298 bytes 1549102 bytes application/postscript application/pdf application/postscript application/pdf |
| spellingShingle | Horn, Berthold K.P. Schunck, Brian G. Determining Optical Flow |
| title | Determining Optical Flow |
| title_full | Determining Optical Flow |
| title_fullStr | Determining Optical Flow |
| title_full_unstemmed | Determining Optical Flow |
| title_short | Determining Optical Flow |
| title_sort | determining optical flow |
| url | http://hdl.handle.net/1721.1/6337 |
| work_keys_str_mv | AT hornbertholdkp determiningopticalflow AT schunckbriang determiningopticalflow |