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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lowe, David G. Binford, Thomas O. |
| Copyright Year | 1979 |
| Abstract | A class of inferences is described which allows the recovery of three-dimensional structures from the two-dimensional curves in an image. Unlike most previous methods, these inferences do not require restrictive assumptions or prior knowledge regarding the scene. They are based on the assumption that the camera viewpoint and the positions of the illumination sources are independent of the objects in the scene. From these independence assumptions, it can be shown that many potential interpretations of image curves are highly improbable. By eliminating these improbable interpretations it is possible to segment the image into sets of related image features and derive many three-space relations. |
| Sponsorship | IEEE Computer Society |
| Starting Page | 320 |
| Ending Page | 326 |
| Page Count | 7 |
| File Size | 1666796 |
| File Format | |
| ISSN | 01628828 |
| Volume Number | PAMI-7 |
| Issue Number | 3 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1985-05-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Layout Cameras Image segmentation Artificial intelligence Laboratories Image recognition Lighting Shape Degradation visual inference Computer vision image understanding line-drawing interpretation shape recovery |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Artificial Intelligence Computational Theory and Mathematics Computer Vision and Pattern Recognition Software |
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