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» Highly Discriminative Invariant FEatures for Image Matching
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IJON
2007
166views more  IJON 2007»
14 years 11 months ago
Kernel PCA for similarity invariant shape recognition
We present in this paper a novel approach for shape description based on kernel principal component analysis (KPCA). The strength of this method resides in the similarity (rotatio...
Hichem Sahbi
BMCBI
2008
123views more  BMCBI 2008»
14 years 12 months ago
PocketMatch: A new algorithm to compare binding sites in protein structures
Background: Recognizing similarities and deriving relationships among protein molecules is a fundamental requirement in present-day biology. Similarities can be present at various...
Kalidas Yeturu, Nagasuma Chandra
PAMI
2011
14 years 6 months ago
Latent Fingerprint Matching
Latent fingerprint identification is of critical importance in forensics. While tremendous progress has been made in the field of automatic fingerprint identification, latent...
Anil K. Jain, Jianjiang Feng
CVPR
2003
IEEE
16 years 1 months ago
Shape Context and Chamfer Matching in Cluttered Scenes
This paper compares two methods for object localization from contours: shape context and chamfer matching of templates. In the light of our experiments, we suggest improvements to...
Arasanathan Thayananthan, Bjoern Stenger, Philip H...
ICCV
2003
IEEE
16 years 1 months ago
High resolution terrain mapping using low altitude aerial stereo imagery
This paper presents an approach to build high resolution digital elevation maps from a sequence of unregistered low altitude stereovision image pairs. The approach first uses a vi...
Il-Kyun Jung, Simon Lacroix