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8 résultats
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Representation, Segmentation and Matching of 3D Visual Shapes using Graph Laplacian and Heat-KernelComputer Vision and Pattern Recognition [cs.CV]. Institut National Polytechnique de Grenoble - INPG, 2012. English. ⟨NNT : ⟩
Thèse
tel-00768768v1
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Shape Matching Based on Diffusion Embedding and on Mutual Isometric ConsistencyNORDIA 2010 - Workshop on Nonrigid Shape Analysis and Deformable Image Alignment, Jun 2010, San Francisco, United States. pp.29-36, ⟨10.1109/CVPRW.2010.5543278⟩
Communication dans un congrès
inria-00549406v1
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3D Shape Registration Using Spectral Graph Embedding and Probabilistic MatchingOlivier Lezoray and Leo Grady. Image Processing and Analysing With Graphs: Theory and Practice, CRC Press, pp.441-474, 2012
Chapitre d'ouvrage
inria-00590273v2
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Learning Shape Segmentation Using Constrained Spectral Clustering and Probabilistic Label TransferECCV 2010 - European Conference on Computer Vision, Sep 2010, Heraklion, Greece. pp.743-756, ⟨10.1007/978-3-642-15555-0_54⟩
Communication dans un congrès
inria-00549401v1
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Inexact Matching of Large and Sparse Graphs Using Laplacian Eigenvectors7th International Workshop on Graph-Based Representations in Pattern Recognition, May 2009, Venice, Italy. pp.144-153, ⟨10.1007/978-3-642-02124-4_15⟩
Communication dans un congrès
inria-00446989v1
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Mesh Segmentation Using Laplacian Eigenvectors and Gaussian MixturesAAAI Fall Symposium on Manifold Learning and its Applications, AAAI, Nov 2009, Arlington, VA, United States. pp.50-56
Communication dans un congrès
inria-00446990v1
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Topologically-Robust 3D Shape Matching Based on Diffusion Geometry and Seed GrowingCVPR '11 - IEEE Conference on Computer Vision and Pattern Recognition, Jun 2011, Colorado Springs, United States. pp.2481-2488, ⟨10.1109/CVPR.2011.5995455⟩
Communication dans un congrès
inria-00590280v1
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SHREC'10 track: correspondence finding3DOR2010 - Eurographics Workshop on 3D Object Retrieval, May 2010, Norrköping, Sweden. pp.87-91, ⟨10.2312/3DOR/3DOR10/087-091⟩
Communication dans un congrès
inria-00590262v1
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