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ICASSP
2007
IEEE
15 years 8 months ago
Texture Classification by using Advanced Local Binary Patterns and Spatial Distribution of Dominant Patterns
In this paper, we propose a new feature extraction method, which is robust against rotation and histogram equalization for texture classification. To this end, we introduce the co...
Shu Liao, Albert C. S. Chung
CVGIP
2006
163views more  CVGIP 2006»
15 years 4 months ago
SVD-matching using SIFT features
The paper tackles the problem of feature points matching between pair of images of the same scene. This is a key problem in computer vision. The method we discuss here is a versio...
Elisabetta Delponte, Francesco Isgrò, Franc...
ICARCV
2008
IEEE
154views Robotics» more  ICARCV 2008»
15 years 11 months ago
Detecting spurious features using parity space
—Detection of spurious features is instrumental in many computer vision applications. The standard approach is feature based, where extracted features are matched between the ima...
David Törnqvist, Thomas B. Schön, Fredri...
CVPR
1998
IEEE
15 years 8 months ago
Appearance Based Behavior Recognition by Event Driven Selective Attention
Most of behavior recognition methods proposed so far share the limitations of bottom-up analysis, and singleobject assumption; the bottom-up analysis can be confused by erroneous ...
Toshikazu Wada, Takashi Matsuyama
BMVC
2010
14 years 11 months ago
Epipolar Constraints for Multiscale Matching
Many recent keypoint detectors associate a local scale (for multiscale detectors) or even a full affine frame (for affine-invariant detectors) to each detected keypoint. Although ...
Bill Triggs, Pashmina Bendale