Implicit fairing of irregular meshes using diffusion and curvature flow
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Laplacian Eigenmaps for dimensionality reduction and data representation
Neural Computation
Matching 3D Models with Shape Distributions
SMI '01 Proceedings of the International Conference on Shape Modeling & Applications
Laplace-Beltrami eigenfunctions for deformation invariant shape representation
SGP '07 Proceedings of the fifth Eurographics symposium on Geometry processing
Clustering and Embedding Using Commute Times
IEEE Transactions on Pattern Analysis and Machine Intelligence
A concise and provably informative multi-scale signature based on heat diffusion
SGP '09 Proceedings of the Symposium on Geometry Processing
A new shape diffusion descriptor for brain classification
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part II
Robust volumetric shape descriptor
EG 3DOR'10 Proceedings of the 3rd Eurographics conference on 3D Object Retrieval
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This paper describes a commute-time based 3D shape descriptor that is robust with respect to changes in pose and topology. A new and completely unsupervised mesh segmentation algorithm is proposed, which is based on the commute time embedding of the mesh and the k-means clustering using the embedded mesh vertices. We use the discrete Laplace-Beltrami operator to construct the graph Laplacian.