International Journal of Computer Vision
Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization
Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization
Curves vs. skeletons in object recognition
Signal Processing - Special section on content-based image and video retrieval
Multiscale Fourier descriptors for defect image retrieval
Pattern Recognition Letters
Hierarchical Procrustes Matching for Shape Retrieval
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Shape Classification Using the Inner-Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust symbolic representation for shape recognition and retrieval
Pattern Recognition
Wavelet descriptor of planar curves: theory and applications
IEEE Transactions on Image Processing
Matching 2D and 3D articulated shapes using the eccentricity transform
Computer Vision and Image Understanding
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In this paper we define a distance between shapes based on geodesics in shape space. The proposed distance, robust to outliers, uses shape matching to compare shapes locally. Multiscale analysis is introduced in order to avoid problems of local and global variabilities. The resulting similarity measure is invariant to translation, rotation and scaling independently of constraints or landmarks, but constraints can be added to the approach formulation when needed. An evaluation of the proposed approach is reported for shape classification and retrieval on a complex benchmark shape database. It demonstrates in both cases that previous work is outperformed.