SHAPE GEODESICS FOR BOUNDARY-BASED OBJECT RECOGNITION AND RETRIEVAL
Résumé
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 intro-duced 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 con-straints can be added to the approach formulation when needed. An evaluation of the proposed approach is reported for shape classi-fication and retrieval on a complex benchmark shape database. It demonstrates in both cases that previous work is outperformed.