Disparity-space images and large occlusion stereo
ECCV '94 Proceedings of the third European conference on Computer Vision (Vol. II)
Computing Size Functions from Edge Maps
International Journal of Computer Vision
Geometric Hashing: An Overview
IEEE Computational Science & Engineering
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Molecular shape analysis based upon the morse-smale complex and the connolly function
Proceedings of the nineteenth annual symposium on Computational geometry
Shape Matching: Similarity Measures and Algorithms
SMI '01 Proceedings of the International Conference on Shape Modeling & Applications
Proceedings of the 13th annual ACM international conference on Multimedia
Retrieval of trademark images by means of size functions
Graphical Models - Special issue on the vision, video and graphics conference 2005
k-dimensional Size Functions for Shape Description and Comparison
ICIAP '07 Proceedings of the 14th International Conference on Image Analysis and Processing
Reeb graphs for shape analysis and applications
Theoretical Computer Science
Describing shapes by geometrical-topological properties of real functions
ACM Computing Surveys (CSUR)
Multidimensional Size Functions for Shape Comparison
Journal of Mathematical Imaging and Vision
Optimal partial shape similarity
Image and Vision Computing
An iterative algorithm for homology computation on simplicial shapes
Computer-Aided Design
Multi-scale approximation of the matching distance for shape retrieval
CTIC'12 Proceedings of the 4th international conference on Computational Topology in Image Context
Comparing shapes through multi-scale approximations of the matching distance
Computer Vision and Image Understanding
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The robustness against occlusions and the ability to perform not only global matching, but also partial matching are investigated in computer vision in order to evaluate the performance of shape descriptors. In this paper we consider the size function shape descriptor, and we illustrate some results about size functions of occluded shapes. Theoretical results indicate that size functions are able to detect a partial matching between shapes by showing a common subset of cornerpoints. Experiments are presented which outline the potential of the proposed approach in recognition tasks in the presence of occlusions.