ABSTRACT With the increasing usage of 3D models, the need for efficient shape retrieval technique... more ABSTRACT With the increasing usage of 3D models, the need for efficient shape retrieval techniques became mandatory. In this chapter, several approaches for 3D retrieval and shape recognition are presented. Invariant descriptor issues for 3D static mesh are exposed, before addressing action and face recognition in 3D videos. Then classical 3D-search engine performance evaluation tools are thoroughly explained. Finally, examples of significant applications using 3D retrieval techniques are given.
Page 1. 3 3D Indexing and Retrieval Stefano Berretti, Mohamed Daoudi, Alberto Del Bimbo, Tarik Fi... more Page 1. 3 3D Indexing and Retrieval Stefano Berretti, Mohamed Daoudi, Alberto Del Bimbo, Tarik Filali Ansary, Pietro Pala, Julien Tierny, Jean-Phillippe Vandeborre 3.1 Introduction This chapter introduces the problem of 3D ...
Three dimensional object recognition techniques have been studied extensively by the computer vis... more Three dimensional object recognition techniques have been studied extensively by the computer vision community. Many methods have been developed for 3D object recognition. Some of them are based on aspect graphs , extended Gaussian images , superquadrics , spin images , and geometric hashing . In this paper we give a new algorithm to segment a surface into plan facet's using the normal vector information on surface. In a second step new affine invariants descriptors for surface (and Objet 3D) are presented using differential geometry. The proposed recognition algorithm will be used in an indexing system for 3D meshs retrevial via interactive web windows.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000
We study shapes of facial surfaces for the purpose of face recognition. The main idea is to 1) re... more We study shapes of facial surfaces for the purpose of face recognition. The main idea is to 1) represent surfaces by unions of level curves, called facial curves, of the depth function and 2) compare shapes of surfaces implicitly using shapes of facial curves. The latter is performed using a differential geometric approach that computes geodesic lengths between closed curves on a shape manifold. These ideas are demonstrated using a nearest-neighbor classifier on two 3D face databases: Florida State University and Notre Dame, highlighting a good recognition performance.
ABSTRACT With the increasing usage of 3D models, the need for efficient shape retrieval technique... more ABSTRACT With the increasing usage of 3D models, the need for efficient shape retrieval techniques became mandatory. In this chapter, several approaches for 3D retrieval and shape recognition are presented. Invariant descriptor issues for 3D static mesh are exposed, before addressing action and face recognition in 3D videos. Then classical 3D-search engine performance evaluation tools are thoroughly explained. Finally, examples of significant applications using 3D retrieval techniques are given.
Page 1. 3 3D Indexing and Retrieval Stefano Berretti, Mohamed Daoudi, Alberto Del Bimbo, Tarik Fi... more Page 1. 3 3D Indexing and Retrieval Stefano Berretti, Mohamed Daoudi, Alberto Del Bimbo, Tarik Filali Ansary, Pietro Pala, Julien Tierny, Jean-Phillippe Vandeborre 3.1 Introduction This chapter introduces the problem of 3D ...
Three dimensional object recognition techniques have been studied extensively by the computer vis... more Three dimensional object recognition techniques have been studied extensively by the computer vision community. Many methods have been developed for 3D object recognition. Some of them are based on aspect graphs , extended Gaussian images , superquadrics , spin images , and geometric hashing . In this paper we give a new algorithm to segment a surface into plan facet's using the normal vector information on surface. In a second step new affine invariants descriptors for surface (and Objet 3D) are presented using differential geometry. The proposed recognition algorithm will be used in an indexing system for 3D meshs retrevial via interactive web windows.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000
We study shapes of facial surfaces for the purpose of face recognition. The main idea is to 1) re... more We study shapes of facial surfaces for the purpose of face recognition. The main idea is to 1) represent surfaces by unions of level curves, called facial curves, of the depth function and 2) compare shapes of surfaces implicitly using shapes of facial curves. The latter is performed using a differential geometric approach that computes geodesic lengths between closed curves on a shape manifold. These ideas are demonstrated using a nearest-neighbor classifier on two 3D face databases: Florida State University and Notre Dame, highlighting a good recognition performance.
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