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» Randomness and Geometric Features in Computer Vision
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CVPR
2011
IEEE
13 years 5 months ago
Using Global Bag of Features Models in Random Fields for Joint Categorization and Segmentation of Objects
We propose to bridge the gap between Random Field (RF) formulations for joint categorization and segmentation (JCaS), which model local interactions among pixels and superpixels, ...
Dheeraj Singaraju, René, Vidal
ICPR
2006
IEEE
14 years 3 months ago
Class Separability in Spaces Reduced By Feature Selection
We investigated the geometrical complexity of several high-dimensional, small sample classification problems and its changes due to two popular feature selection procedures, forw...
Erinija Pranckeviciene, TinKam Ho, Ray L. Somorjai
ICPR
2008
IEEE
14 years 10 months ago
Illumination invariants based on Markov random fields
We propose textural features, which are invariant to illumination spectrum and extremely robust to illumination direction. They require only a single training image per texture an...
Pavel Vacha, Michal Haindl
ICPR
2000
IEEE
14 years 1 months ago
Acoustic and Facial Features for Speaker Recognition
This paper gives an insight into biometrics used for speaker recognition. Three different biometrics are presented, based on: acoustic, geometric lip, and holistic facial features...
Matthew Roach, Jason Brand, John S. Mason
ICCV
1999
IEEE
14 years 11 months ago
Object Recognition from Local Scale-Invariant Features
Proc. of the International Conference on Computer Vision, Corfu (Sept. 1999) An object recognition system has been developed that uses a new class of local image features. The fea...
David G. Lowe