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» A Probabilistic Approach to Robust Shape Matching
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ICIP
2006
IEEE
14 years 6 months ago
A Probabilistic Approach to Robust Shape Matching
We present a probabilistic approach to shape matching which is invariant to rotation, translation and scaling. Shapes are represented by unlabeled point sets, so discontinuous bou...
Graham McNeill, Sethu Vijayakumar
CIARP
2009
Springer
13 years 11 months ago
Morphological Shape Context: Semi-locality and Robust Matching in Shape Recognition
Abstract. We present a novel shape recognition method based on an algorithm to detect contrasted level lines for extraction, on Shape Context for encoding and on an a contrario app...
Mariano Tepper, Francisco Gómez, Pablo Mus&...
ICPR
2006
IEEE
14 years 6 months ago
Part-Based Probabilistic Point Matching
Correspondence algorithms typically struggle with shapes that display part-based variation. We present a probabilistic approach that matches shapes using independent part transfor...
Graham McNeill, Sethu Vijayakumar
PR
2008
195views more  PR 2008»
13 years 4 months ago
Object detection by global contour shape
We present a method for object class detection in images based on global shape. A distance measure for elastic shape matching is derived, which is invariant to scale and rotation,...
Konrad Schindler, David Suter
ICCV
2007
IEEE
14 years 6 months ago
Articulated Shape Matching by Robust Alignment of Embedded Representations
In this paper we propose a general framework to solve the articulated shape matching problem, formulated as finding point-to-point correspondences between two shapes represented b...
Diana Mateus, Fabio Cuzzolin, Radu Horaud, Edmond ...