SUSAN—A New Approach to Low Level Image Processing
International Journal of Computer Vision
Shape characterization with the wavelet transform
Signal Processing
Efficient simplification of point-sampled surfaces
Proceedings of the conference on Visualization '02
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimating Human Body Configurations Using Shape Context Matching
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Perceptually Based Approach for Planar Shape Morphing
PG '04 Proceedings of the Computer Graphics and Applications, 12th Pacific Conference
The Pyramid Match Kernel: Discriminative Classification with Sets of Image Features
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Salient geometric features for partial shape matching and similarity
ACM Transactions on Graphics (TOG)
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
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We present and compare two multi-scale shape matching schemes: Chi-square distance based scheme and pyramid matching mode based scheme. We define a shape as a set of points. Multi-scale shape matching includes two steps: multi-scale feature extraction and point correspondence. We define a hybrid feature for every point by combining a global multi-scale shape context feature and a local variation feature. The two schemes have a difference in the computation of multi-scale shape context feature distance: the Chi-square distance based scheme directly sums up weighted Chi-square distances at different scales while the pyramid matching mode based scheme utilizes a multi-scale pyramid matching mode. Experimental results based on Frenkel and Kimia databases show that: (1) the pyramid matching mode based scheme can achieve robust and often better performance than the Chi-square distance based scheme; (2) the proposed two multi-scale schemes can achieve averagely better results than the single scale schemes.