3D non-rigid pattern recognition based on structural analysis

Meha Hachani 1 Azza Ouled Zaid 1 William Puech 2
2 ICAR - Image & Interaction
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : This paper presents a new retrieval approach for 3D non-rigid objects. The proposed method consists in using the Reeb graph representation as local shape descriptor. The generated Reeb graph, based on the heat diffusion properties, is segmented into Reeb charts having a controlled topology. Each Reeb chart is associated with a couple of geometrical signatures, based on the area and angle distortions. The matching procedure is carried out on each pair of Reeb charts, according to the minimum distance between the corresponding signatures. A global similarity measure quantifies the degree of correspondence between all the matched Reeb charts. Experimental results, conducted on SHREC 2011 dataset, have shown that our retrieval approach provides an overall retrieval efficiency gain compared to three state-of-the-art methods.
Type de document :
Communication dans un congrès
ICIP: International Conference on Image Processing, Oct 2014, Paris, France. 21st IEEE International Conference on Image Processing, pp.3131-3135, 2014, 〈https://icip2014.wp.mines-telecom.fr〉. 〈10.1109/ICIP.2014.7025633〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01379582
Contributeur : William Puech <>
Soumis le : mardi 11 octobre 2016 - 17:12:55
Dernière modification le : mardi 5 juin 2018 - 15:54:02

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Meha Hachani, Azza Ouled Zaid, William Puech. 3D non-rigid pattern recognition based on structural analysis. ICIP: International Conference on Image Processing, Oct 2014, Paris, France. 21st IEEE International Conference on Image Processing, pp.3131-3135, 2014, 〈https://icip2014.wp.mines-telecom.fr〉. 〈10.1109/ICIP.2014.7025633〉. 〈lirmm-01379582〉

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