Fast Approximate Energy Minimization via Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM SIGGRAPH 2004 Papers
Mesh analysis using geodesic mean-shift
The Visual Computer: International Journal of Computer Graphics
Cosegmentation of Image Pairs by Histogram Matching - Incorporating a Global Constraint into MRFs
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Reeb graphs for shape analysis and applications
Theoretical Computer Science
Upright orientation of man-made objects
ACM SIGGRAPH 2008 papers
iWIRES: an analyze-and-edit approach to shape manipulation
ACM SIGGRAPH 2009 papers
Joint-aware manipulation of deformable models
ACM SIGGRAPH 2009 papers
A benchmark for 3D mesh segmentation
ACM SIGGRAPH 2009 papers
Technical Section: Consistent segmentation of 3D models
Computers and Graphics
A hierarchical segmentation of articulated bodies
SGP '08 Proceedings of the Symposium on Geometry Processing
Multi-objective shape segmentation and labeling
SGP '09 Proceedings of the Symposium on Geometry Processing
Illustrating how mechanical assemblies work
ACM SIGGRAPH 2010 papers
Learning 3D mesh segmentation and labeling
ACM SIGGRAPH 2010 papers
Contextual Part Analogies in 3D Objects
International Journal of Computer Vision
Style-content separation by anisotropic part scales
ACM SIGGRAPH Asia 2010 papers
Joint shape segmentation with linear programming
Proceedings of the 2011 SIGGRAPH Asia Conference
Joint shape segmentation with linear programming
Proceedings of the 2011 SIGGRAPH Asia Conference
Exploring collections of 3D models using fuzzy correspondences
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
A probabilistic model for component-based shape synthesis
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Visible neighborhood graph of point clouds
Graphical Models
Co-Segmentation of 3D Shapes via Subspace Clustering
Computer Graphics Forum
Acquiring 3D indoor environments with variability and repetition
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Active co-analysis of a set of shapes
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Co-abstraction of shape collections
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
An optimization approach for extracting and encoding consistent maps in a shape collection
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Structure recovery by part assembly
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Unsupervised co-segmentation for 3D shapes using iterative multi-label optimization
Computer-Aided Design
Semi-supervised Mesh Segmentation and Labeling
Computer Graphics Forum
Co-hierarchical analysis of shape structures
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Learning part-based templates from large collections of 3D shapes
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Qualitative organization of collections of shapes via quartet analysis
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Sketch2Scene: sketch-based co-retrieval and co-placement of 3D models
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Co-segmentation of 3D shapes via multi-view spectral clustering
The Visual Computer: International Journal of Computer Graphics
Projective analysis for 3D shape segmentation
ACM Transactions on Graphics (TOG)
SMI 2013: New evaluation metrics for mesh segmentation
Computers and Graphics
ACM Transactions on Graphics (TOG)
Diffusion pruning for rapidly and robustly selecting global correspondences using local isometry
ACM Transactions on Graphics (TOG)
Structure-aware shape processing
SIGGRAPH Asia 2013 Courses
Special Section on CAD/Graphics 2013: Confidence-driven image co-matting
Computers and Graphics
CAD/Graphics 2013: Interactive shape co-segmentation via label propagation
Computers and Graphics
PHOG: photometric and geometric functions for textured shape retrieval
SGP '13 Proceedings of the Eleventh Eurographics/ACMSIGGRAPH Symposium on Geometry Processing
Dynamic maps for exploring and browsing shapes
SGP '13 Proceedings of the Eleventh Eurographics/ACMSIGGRAPH Symposium on Geometry Processing
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We introduce an algorithm for unsupervised co-segmentation of a set of shapes so as to reveal the semantic shape parts and establish their correspondence across the set. The input set may exhibit significant shape variability where the shapes do not admit proper spatial alignment and the corresponding parts in any pair of shapes may be geometrically dissimilar. Our algorithm can handle such challenging input sets since, first, we perform co-analysis in a descriptor space, where a combination of shape descriptors relates the parts independently of their pose, location, and cardinality. Secondly, we exploit a key enabling feature of the input set, namely, dissimilar parts may be "linked" through third-parties present in the set. The links are derived from the pairwise similarities between the parts' descriptors. To reveal such linkages, which may manifest themselves as anisotropic and non-linear structures in the descriptor space, we perform spectral clustering with the aid of diffusion maps. We show that with our approach, we are able to co-segment sets of shapes that possess significant variability, achieving results that are close to those of a supervised approach.