Parts of Visual Form: Computational Aspects
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Convexity rule for shape decomposition based on discrete contour evolution
Computer Vision and Image Understanding
Ligature instabilities in the perceptual organization of shape
Computer Vision and Image Understanding
Hierarchical Decomposition and Axial Shape Description
IEEE Transactions on Pattern Analysis and Machine Intelligence
Polygon decomposition based on the straight line skeleton
Proceedings of the nineteenth annual symposium on Computational geometry
On the Intrinsic Reconstruction of Shape from Its Symmetries
IEEE Transactions on Pattern Analysis and Machine Intelligence
Untangling the Blum Medial Axis Transform
International Journal of Computer Vision - Special Issue on Research at the University of North Carolina Medical Image Display Analysis Group (MIDAG)
Skeleton Pruning by Contour Partitioning with Discrete Curve Evolution
IEEE Transactions on Pattern Analysis and Machine Intelligence
2D Shape Decomposition Based on Combined Skeleton-Boundary Features
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
Approximate convex decomposition of polygons
Computational Geometry: Theory and Applications
Object Detection with Discriminatively Trained Part-Based Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bone graphs: Medial shape parsing and abstraction
Computer Vision and Image Understanding
Robust hand gesture recognition based on finger-earth mover's distance with a commodity depth camera
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Shape partitioning by convexity
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Minimum near-convex decomposition for robust shape representation
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
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Organizing objects in terms of parts constructs a natural shape descriptor and provides a foundation for many shape-related applications, such as object detection and tracking. In this paper, we propose a part decomposition scheme that focuses on analyzing the relations between part cuts and segmentation points. Aiming at obtaining perceptually friendly parts, we take the human perception behavior into account when extracting candidate part cuts and defining their costs. The decomposition is to find a subset from candidate part cuts with minimum cost, while guarantee that all segmentation points are resolved. The theoretical and experimental results demonstrate that the proposed method is robust to occlusion, part movement and boundary distortion. We also show that our method can predict most of highly salient part cuts, and have a good performance in hand gesture recognition.