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» Shape Similarity Measurement for Boundary Based Features
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VMV
2008
162views Visualization» more  VMV 2008»
15 years 3 months ago
Learning Distinctive Local Object Characteristics for 3D Shape Retrieval
While supervised learning approaches for 3D shape retrieval have been successfully used to incorporate human knowledge about object classes based on global shape features, the inc...
Raoul Wessel, Rafal Baranowski, Reinhard Klein
CVPR
2001
IEEE
16 years 3 months ago
Learning Similarity Measure for Natural Image Retrieval with Relevance Feedback
A new scheme of learning similarity measure is proposed for content-based image retrieval (CBIR). It learns a boundary that separates the images in the database into two parts. Im...
Guodong Guo, Anil K. Jain, Wei-Ying Ma, HongJiang ...
CGI
2004
IEEE
15 years 5 months ago
Feature-Sensitive 3D Shape Matching
Three dimensional shape matching plays an important role in many of today's applications. Nevertheless, shape matching is a difficult problem since there is no unique measure...
Andrei Sharf, Ariel Shamir
CVPR
2007
IEEE
16 years 3 months ago
An MRF and Gaussian Curvature Based Shape Representation for Shape Matching
Matching and registration of shapes is a key issue in Computer Vision, Pattern Recognition, and Medical Image Analysis. This paper presents a shape representation framework based ...
Pengdong Xiao, Nick Barnes, Tibério S. Caet...
ENGL
2007
92views more  ENGL 2007»
15 years 1 months ago
K-Mutual Nearest Neighbour Approach for Clustering Two-Dimensional Shapes Described by Fuzzy-Symbolic Features
Abstract— In this paper, a new method of representing twodimensional shapes using fuzzy-symbolic features and a similarity measure defined over fuzzy-symbolic features useful for...
H. S. Nagendraswamy, D. S. Guru