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» Using Top-Points as Interest Points for Image Matching
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NIPS
1994
13 years 9 months ago
Using a neural net to instantiate a deformable model
Deformable models are an attractive approach to recognizing nonrigid objects which have considerable within class variability. However, there are severe search problems associated...
Christopher K. I. Williams, Michael Revow, Geoffre...
MIAR
2006
IEEE
14 years 1 months ago
A General Learning Framework for Non-rigid Image Registration
This paper presents a general learning framework for non-rigid registration of MR brain images. Given a set of training MR brain images, three major types of information are partic...
Guorong Wu, Feihu Qi, Dinggang Shen
ICIP
2009
IEEE
13 years 5 months ago
Finger-knuckle-print: A new biometric identifier
This paper presents a new biometric identifier, namely finger-knuckle-print (FKP), for personal identity authentication. First a specific data acquisition device is constructed to...
Lin Zhang, Lei Zhang 0006, David Zhang
ICPR
2008
IEEE
14 years 2 months ago
3D reconstruction by combining shape from silhouette with stereo
In this paper we propose a 3D reconstruction algorithm by combining shape from silhouette with stereo. Visual hull of the object is first derived from multi-view silhouette image...
Huei-Yung Lin, Jing-Ren Wu
DAGM
2001
Springer
14 years 7 days ago
Similarity Measures for Occlusion, Clutter, and Illumination Invariant Object Recognition
Novel similarity measures for object recognition and image matching are proposed, which are inherently robust against occlusion, clutter, and nonlinear illumination changes. They c...
Carsten Steger