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 pads. 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 znvarzant scale space, we define affine znvariant 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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 12th IAPR International Conference on Pattern Recognition |
| Publisher | IEEE |
| Pages | 164-168 |
| Number of pages | 5 |
| Volume | I |
| ISBN (Print) | 9780818662652 |
| DOIs | |
| Publication status | Published - 1994 |
| Externally published | Yes |
| Event | 12th IAPR International Conference on Pattern Recognition: Conference A: Computer Vision & Image Processing - Jerusalem, Israel Duration: 9 Oct 1994 → 13 Oct 1994 |
Publication series
| Name | Proceedings - International Conference on Pattern Recognition |
|---|---|
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISSN (Print) | 1051-4651 |
Conference
| Conference | 12th IAPR International Conference on Pattern Recognition: Conference A: Computer Vision & Image Processing |
|---|---|
| Country/Territory | Israel |
| City | Jerusalem |
| Period | 9/10/94 → 13/10/94 |
Bibliographical note
Publisher Copyright:© 1994 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.