Abstract
The problem of determining feature correspondences across multiple views is considered. The term 'true multi-image' matching is introduced to describe techniques that make full and efficient use of the geometric relationships between multiple images and the scene. A true multi-image technique must generalize to any number of images, be of linear algorithmic complexity in the number of images, and use all the images in an equal manner. A new space-sweep approach to true multi-image matching is presented that simultaneously determines 2D feature correspondences and the 3D positions of feature points in the scene. The method is illustrated on a seven-image matching example from the aerial image domain.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 358-363 |
| Number of pages | 6 |
| Journal | Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition |
| State | Published - Jan 1 1996 |
| Event | Proceedings of the 1996 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - San Francisco, CA, USA Duration: Jun 18 1996 → Jun 20 1996 |
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All Science Journal Classification (ASJC) codes
- Software
- Computer Vision and Pattern Recognition