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» Ordinal Measures for Image Correspondence
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IPMI
2003
Springer
14 years 6 months ago
Learning Object Correspondences with the Observed Transport Shape Measure
Abstract. We propose a learning method which introduces explicit knowledge to the object correspondence problem. Our approach uses an a priori learning set to compute a dense corre...
Alain Pitiot, Hervé Delingette, Arthur W. T...
JMIV
2007
143views more  JMIV 2007»
13 years 5 months ago
Measures for Benchmarking of Automatic Correspondence Algorithms
Automatic localisation of correspondences for the construction of Statistical Shape Models from examples has been the focus of intense research during the last decade. Several alg...
Anders Ericsson, Johan Karlsson
CVPR
2005
IEEE
13 years 11 months ago
Ordinal Palmprint Represention for Personal Identification
Palmprint-based personal identification, as a new member in the biometrics family, has become an active research topic in recent years. Although great progress has been made, how ...
Zhenan Sun, Tieniu Tan, Yunhong Wang, Stan Z. Li
CVPR
2008
IEEE
14 years 7 months ago
Boosting ordinal features for accurate and fast iris recognition
In this paper, we present a novel iris recognition method based on learned ordinal features.Firstly, taking full advantages of the properties of iris textures, a new iris represen...
Zhaofeng He, Zhenan Sun, Tieniu Tan, Xianchao Qiu,...
PR
2002
81views more  PR 2002»
13 years 5 months ago
Generalised correlation for multi-feature correspondence
Computing correspondences between pairs of images is fundamental to all structures from motion algorithms. Correlation is a popular method to estimate similarity between patches o...
C. V. Jawahar, P. J. Narayanan