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» Classification of Contour Shapes Using Class Segment Sets
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CVPR
2005
IEEE
14 years 7 months ago
Classification of Contour Shapes Using Class Segment Sets
Both example-based and model-based approaches for classifying contour shapes can encounter difficulties when dealing with classes that have large nonlinear variability, especially...
Kang B. Sun, Boaz J. Super
DICTA
2003
13 years 6 months ago
A Model Set Based Object Segmentation Method Using Level Set Approach
Abstract. A novel approach for model set based object segmentation is described. The proposed method enables the using of a model set to guide the object segmentation. The object s...
Xun Wang, Zhigang Peng, Feng Gao, William G. Wee
PR
2008
188views more  PR 2008»
13 years 5 months ago
Detection and recognition of contour parts based on shape similarity
Due to distortion, noise, segmentation errors, overlap, and occlusion of objects in digital images, it is usually impossible to extract complete object contours or to segment the ...
Xiang Bai, Xingwei Yang, Longin Jan Latecki
ICDAR
2009
IEEE
13 years 3 months ago
Restoration and Segmentation of Highly Degraded Characters Using a Shape-Independent Level Set Approach and Multi-level Classifi
Segmentation of ancient documents is challenging. In the worst cases, text characters become fragmented as the results of strong degradation processes. New active contour methods ...
Reza Farrahi Moghaddam, David Rivest-Hénaul...
CVPR
2011
IEEE
13 years 1 months ago
2D Nonrigid Partial Shape Matching Using MCMC and Contour Subdivision
Shape matching has many applications in computer vision, such as shape classification, object recognition, object detection, and localization. In 2D cases, shape instances are 2D c...
Y. Cao, Z. Zhang, I. Czogiel, I. Dryden, S. Wang