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» Relaxed matching kernels for robust image comparison
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ICIP
2004
IEEE
14 years 9 months ago
Robust video signature based on ordinal measure
In this paper we proposed a video signature based on ordinal measure of resampled video frames, which is robust to changing compression formats, compression ratios, frame sizes an...
Xian-Sheng Hua, Xian Chen, HongJiang Zhang
VMV
2001
161views Visualization» more  VMV 2001»
13 years 8 months ago
Regularized Quadrature Filters for Local Frequency Estimation: Application to Multimodal Volume Image Registration
Multimodal image registration is a fundamental problem in medical image analysis. In this paper, we propose a novel algorithm to compute the local frequency representations of the...
Jundong Liu
MM
2010
ACM
462views Multimedia» more  MM 2010»
13 years 7 months ago
KPB-SIFT: a compact local feature descriptor
Invariant feature descriptors such as SIFT and GLOH have been demonstrated to be very robust for image matching and object recognition. However, such descriptors are typically of ...
Gangqiang Zhao, Ling Chen, Gencai Chen, Junsong Yu...
ICRA
2006
IEEE
139views Robotics» more  ICRA 2006»
14 years 1 months ago
Adaptive Geometric Templates for Feature Matching
Robust motion recovery in tracking multiple targets using image features is affected by difficulties in obtaining good correspondences over long sequences. Difficulties are intr...
Harini Veeraraghavan, Paul R. Schrater, Nikolaos P...
BCS
2008
13 years 8 months ago
Improved SIFT-Features Matching for Object Recognition
: The SIFT algorithm (Scale Invariant Feature Transform) proposed by Lowe [1] is an approach for extracting distinctive invariant features from images. It has been successfully app...
Faraj Alhwarin, Chao Wang, Danijela Ristic-Durrant...