Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of methods for recovering quadrics in triangle meshes
ACM Computing Surveys (CSUR)
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
A Survey of Content Based 3D Shape Retrieval Methods
SMI '04 Proceedings of the Shape Modeling International 2004
Shape-based retrieval and analysis of 3d models
Communications of the ACM - 3d hard copy
Mesh Segmentation - A Comparative Study
SMI '06 Proceedings of the IEEE International Conference on Shape Modeling and Applications 2006
Selecting Distinctive 3D Shape Descriptors for Similarity Retrieval
SMI '06 Proceedings of the IEEE International Conference on Shape Modeling and Applications 2006
Shape Topics: A Compact Representation and New Algorithms for 3D Partial Shape Retrieval
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Efficient Computation of Isometry-Invariant Distances Between Surfaces
SIAM Journal on Scientific Computing
The Pyramid Match Kernel: Efficient Learning with Sets of Features
The Journal of Machine Learning Research
Pose-Oblivious Shape Signature
IEEE Transactions on Visualization and Computer Graphics
Deformable Model Retrieval Based on Topological and Geometric Signatures
IEEE Transactions on Visualization and Computer Graphics
Numerical Geometry of Non-Rigid Shapes
Numerical Geometry of Non-Rigid Shapes
Three-dimensional shape searching: state-of-the-art review and future trends
Computer-Aided Design
Calculus of Nonrigid Surfaces for Geometry and Texture Manipulation
IEEE Transactions on Visualization and Computer Graphics
Orientation invariant 3D object classification using hough transform based methods
Proceedings of the ACM workshop on 3D object retrieval
Hough transform and 3D SURF for robust three dimensional classification
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
On the use of implicit shape models for recognition of object categories in 3D data
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Efficient object categorization with the surface-approximation polynomials descriptor
SC'12 Proceedings of the 2012 international conference on Spatial Cognition VIII
Automatic shape expansion with verification to improve 3D retrieval, classification and matching
3DOR '13 Proceedings of the Sixth Eurographics Workshop on 3D Object Retrieval
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In this paper we propose a novel framework for 3D object categorization. The object is modeled it in terms of its sub-parts as an histogram of 3D visual word occurrences. We introduce an effective method for hierarchical 3D object segmentation driven by the minima rule that combines spectral clustering --- for the selection of seed-regions --- with region growing based on fast marching. The front propagation is driven by local geometry features, namely the Shape Index. Finally, after the coding of each object according to the Bag-of-Words paradigm, a Support Vector Machine is learnt to classify different objects categories. Several examples on two different datasets are shown which evidence the effectiveness of the proposed framework.