A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Shape matching using edit-distance: an implementation
SODA '01 Proceedings of the twelfth annual ACM-SIAM symposium on Discrete algorithms
Topology matching for fully automatic similarity estimation of 3D shapes
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
ACM Transactions on Graphics (TOG)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Partitioning 3D Surface Meshes Using Watershed Segmentation
IEEE Transactions on Visualization and Computer Graphics
Registration of 3D Medical Images Using Simple Morphological Tools
IPMI '97 Proceedings of the 15th International Conference on Information Processing in Medical Imaging
Interactive Organ Segmentation Using Graph Cuts
MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
Hierarchical isosurface segmentation based on discrete curvature
VISSYM '03 Proceedings of the symposium on Data visualisation 2003
Recognizing Objects by Matching Oriented Points
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Skeletal Methods of Shape Manipulation
SMI '99 Proceedings of the International Conference on Shape Modeling and Applications
An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM SIGGRAPH 2005 Papers
Curvature Maps for Local Shape Comparison
SMI '05 Proceedings of the International Conference on Shape Modeling and Applications 2005
Salient geometric features for partial shape matching and similarity
ACM Transactions on Graphics (TOG)
Point fingerprint: a new 3-D object representation scheme
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Visibility-based feature extraction from discrete models
Proceedings of the 2008 ACM symposium on Solid and physical modeling
Automatic Detection of the Back Valley on Scoliotic Trunk Using Polygonal Surface Curvature
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
3D curvature-based shape descriptors for face segmentation: an anatomical-based analysis
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part III
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Automatic detection of features in three-dimensional objects is a critical part of shape matching tasks such as object registration and recognition. Previous approaches often required some type of user interaction to select features. Manual selection of corresponding features and subjective determination of the difference between objects are time consuming processes requiring a high level of expertise. The Curvature Map represents shape information for a point and its surrounding region and is robust with respect to grid resolution and mesh regularity. It can be used as a measure of local surface similarity. We use these curvature map properties to extract feature regions of an object. To make the selection of the feature region less subjective, we employ a min-cut/max-flow graph cut algorithm with vertex weights derived from the curvature map property. A multi-scale approach is used to minimize the dependence on user defined parameters. We show that by combining curvature maps and graph cuts in a multi-scale framework, we can extract meaningful features in a robust way.