Abstract
The recently proved existence of affine invariant scale spaces for shapes opens new possibilities for shape recognition. While affine invariant shape recognition is easily performed when shapes are complete, partially occluded or incomplete shapes must be recognized by dividing them into intrinsic parts. The characteristic point method, for instance, focuses on configurations of points with maximal curvature of the shape (in an euclidian invariant framework). Using the affine invariant scale space, we define affine invariant characteristic points and affine invariant parts of a shape. We prove that compatibility scale relations make feasible the matching of scale spaces and show experiments with noisy affine distorted and occluded shapes. © 1995 SPIE. All rights reserved.
| Original language | English |
|---|---|
| Pages (from-to) | 214-222 |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 2567 |
| DOIs | |
| Publication status | Published - 1 Sept 1995 |
| Externally published | Yes |
| Event | Investigative and Trial Image Processing 1995 - San Diego, United States Duration: 9 Jul 1995 → 14 Jul 1995 |
Bibliographical note
Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].Research Keywords
- Local affine invariants
- Object recognition
- Scale-space
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