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DAGM
2007
Springer
13 years 11 months ago
How to Find Interesting Locations in Video: A Spatiotemporal Interest Point Detector Learned from Human Eye Movements
Interest point detection in still images is a well-studied topic in computer vision. In the spatiotemporal domain, however, it is still unclear which features indicate useful inter...
Wolf Kienzle, Bernhard Schölkopf, Felix A. Wi...
ICIP
2008
IEEE
14 years 1 months ago
Reliable interest point detection under large illumination variations
This appendix proves the illumination robustness of the proposed corner detector over the Harris corner detector. I. HARRIS CORNER DETECTOR The Harris corner detector [1] is based...
Murat Gevrekci, Bahadir K. Gunturk
ICIP
2010
IEEE
13 years 5 months ago
Image recognition using maximal cliques of interest points
This paper describes a method for extracting interest points in images and using interrelated groups or cliques to recognize structure common to pairs of images. Feature measureme...
Fred Stentiford, Ade Bamidele
SCIA
2009
Springer
118views Image Analysis» more  SCIA 2009»
14 years 3 hour ago
Grouping of Semantically Similar Image Positions
Features from the Scale Invariant Feature Transformation (SIFT) are widely used for matching between spatially or temporally displaced images. Recently a topology on the SIFT featu...
Lutz Priese, Frank Schmitt, Nils Hering
CVPR
2004
IEEE
14 years 9 months ago
Invariant Operators, Small Samples, and the Bias-Variance Dilemma
Invariant features or operators are often used to shield the recognition process from the effect of "nuisance" parameters, such as rotations, foreshortening, or illumina...
Xiaojin Shi, Roberto Manduchi