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» Using multiscale top points in image matching
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ICPR
2008
IEEE
15 years 4 months ago
Ranking the local invariant features for the robust visual saliencies
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
Shengping Xia, Peng Ren, Edwin R. Hancock
CVPR
1999
IEEE
15 years 11 months ago
Multiscale Image Registration Using Scale Trace Correlation
This paper presents a method for registering images at different magnifications (scales) by treating the problem not only as one of scaling the image coordinates but also as one i...
Bruce B. Hansen, Bryan S. Morse
CVPR
2011
IEEE
14 years 5 months ago
Learning and Matching Multiscale Template Descriptors for Real-Time Detection, Localization and Tracking
We describe a system to learn an object template from a video stream, and localize and track the corresponding object in live video. The template is decomposed into a number of lo...
Taehee Lee, Stefano Soatto
ACCV
1998
Springer
15 years 1 months ago
Learning Multiscale Image Models of 2D Object Classes
This paper isconcerned with learning the canonical gray scalestructure of the images of a classof objects. Structure is defined in terms of the geometry and layout of salientimage...
Benoit Perrin, Narendra Ahuja, Narayan Srinivasa
PAMI
1998
94views more  PAMI 1998»
14 years 9 months ago
Unconstrained Automatic Image Matching Using Multiresolutional Critical-Point Filters
—This paper proposes a novel method for matching images. The results can be used for a variety of applications: fully automatic morphing, object recognition, stereo photogrammetr...
Yoshihisa Shinagawa, Tosiyasu L. Kunii