Name
Abstract | ||
|---|---|---|
Gabor filter-based feature extraction and its use in object shape matching are addressed. For the feature extraction multi-scale Gabor filters are used. From the analysis of the properties of the Gabor-filtered image, we know isolated dominant points generally exist on the object contour, when the filter design parameters are properly selected. The dominant points thus extracted are robust to the image noise, scaling, rotation, translation, and the minor projection deformation. Object shape matching in terms of a two-stage point matching is presented. First, a feature vector representation of the dominant point is used for initial matching. Secondly, the compatibility constraints on the distances and angles between point pairs are used for the final matching. Computer simulations with synthetic and real object images are included to show the feasibility of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1007/3-540-45925-1_9 | VISUAL |
Keywords | Field | DocType |
two-stage point matching,feature extraction multi-scale gabor,object contour,gabor filter-based feature extraction,object shape matching,real object image,gabor filtering,dominant point,object shape,final matching,initial matching,invariant feature extraction,computer simulation,feature vector,filter design,feature extraction | Computer vision,Feature vector,Point set registration,Pattern recognition,Gabor wavelet,Computer science,Image processing,Filter (signal processing),Feature extraction,Gabor filter,Artificial intelligence,Filter design | Conference |
ISBN | Citations | PageRank |
3-540-43358-9 | 1 | 0.35 |
References | Authors | |
14 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shu-Kuo Sun | 1 | 63 | 2.55 |
| Zen Chen | 2 | 139 | 25.78 |
| Tsorng-Lin Chia | 3 | 59 | 10.26 |