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» Shape analysis algorithm based on information theory
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ISBI
2009
IEEE
15 years 4 months ago
Laplace-Beltrami Nodal Counts: A New Signature for 3D Shape Analysis
In this paper we develop a new approach of analyzing 3D shapes based on the eigen-system of the Laplace-Beltrami operator. While the eigenvalues of the Laplace-Beltrami operator h...
Rongjie Lai, Yonggang Shi, Ivo D. Dinov, Tony F. C...
SMI
1999
IEEE
111views Image Analysis» more  SMI 1999»
15 years 1 months ago
Computational Topology for Shape Modeling
This paper expands the role of the new field of computational topology by surveying methods for incorporating connectedness in shape modeling. Two geometric representations in par...
John C. Hart
TACAS
2010
Springer
137views Algorithms» more  TACAS 2010»
15 years 4 months ago
Statistical Measurement of Information Leakage
Information theory provides a range of useful methods to analyse probability distributions and these techniques have been successfully applied to measure information flow and the ...
Konstantinos Chatzikokolakis, Tom Chothia, Apratim...
106
Voted
CVPR
2009
IEEE
15 years 28 days ago
Fourier analysis and Gabor filtering for texture analysis and local reconstruction of general shapes
Since the pioneering work of Gibson in 1950, ShapeFrom-Texture has been considered by researchers as a hard problem, mainly due to restrictive assumptions which often limit its ap...
Fabio Galasso, Joan Lasenby
70
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FSKD
2005
Springer
94views Fuzzy Logic» more  FSKD 2005»
15 years 3 months ago
Incremental Target Recognition Algorithm Based on Improved Discernibility Matrix
Abstract. An incremental target recognition algorithm based on improved discernibility matrix in rough set theory is presented. Some comparable experiments have been completed in o...
Yong Liu, Congfu Xu, Zhiyong Yan, Yunhe Pan