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Communication Dans Un Congrès Année : 2009

SHAPE GEODESICS FOR BOUNDARY-BASED OBJECT RECOGNITION AND RETRIEVAL

Kamal Nasreddine
Abdesslam Benzinou
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Ronan Fablet
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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.
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Dates et versions

hal-01110624 , version 1 (28-01-2015)

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  • HAL Id : hal-01110624 , version 1

Citer

Kamal Nasreddine, Abdesslam Benzinou, Ronan Fablet. SHAPE GEODESICS FOR BOUNDARY-BASED OBJECT RECOGNITION AND RETRIEVAL. ICIP'2009 : The 16th IEEE International Conference on Image Processing, Nov 2009, Cairo, Egypt. ⟨hal-01110624⟩
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