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» A SIFT Descriptor with Global Context
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CVPR
2005
IEEE
14 years 6 months ago
A SIFT Descriptor with Global Context
Matching points between multiple images of a scene is a vital component of many computer vision tasks. Point matching involves creating a succinct and discriminative descriptor fo...
Eric N. Mortensen, Hongli Deng, Linda G. Shapiro
ECCV
2006
Springer
13 years 8 months ago
SIFT and Shape Context for Feature-Based Nonlinear Registration of Thoracic CT Images
Nonlinear image registration is a prerequisite for various medical image analysis applications. Many data acquisition protocols suffer from problems due to breathing motion which h...
Martin Urschler, Joachim Bauer, Hendrik Ditt, Hors...
CVPR
2009
IEEE
1930views Computer Vision» more  CVPR 2009»
14 years 12 months ago
Mutual Information-based Stereo Matching Combined with SIFT Descriptor in Log-chromaticity Color Space
Radiometric variations between input images can seriously degrade the performance of stereo matching algorithms. In this situation, mutual information is a very popular and powe...
Yong Seok Heo (Seoul National University), Kyoung ...
ICIP
2008
IEEE
14 years 6 months ago
People re-detection using Adaboost with sift and color correlogram
People re-detection aims at performing re-identification of people who leave the scene and reappear after some time. This is an important problem especially in video surveillance ...
Lei Hu, Shuqiang Jiang, Qingming Huang, Wen Gao
ICCV
2005
IEEE
14 years 6 months ago
Evaluation of Features Detectors and Descriptors Based on 3D Objects
We explore the performance of a number of popular feature detectors and descriptors in matching 3D object features across viewpoints and lighting conditions. To this end we design...
Pierre Moreels, Pietro Perona