DocumentCode :
3204733
Title :
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Volume :
1
fYear :
2004
fDate :
June 27 2004-July 2 2004
Abstract :
The following topics are dealt with: image restoration of curved document images; image segmentation based stereo matching sequence using graph cuts; wavelet based hierarchial surface approximation using local feature subset selection; similarity measure and learning with Gray level aura matrices (GLAM) for texture image retrieval; 3D geometry models coding and morphing for efficient video compression; robust colour object detection using joint probability functions; generalized hidden Markov model; skew Gabor filter in source signal separation and local spectral analysis; motion estimation with optimization; Gibbs maximum likelihood estimation.
Keywords :
approximation theory; computational geometry; computer vision; document image processing; filtering theory; graph theory; hidden Markov models; image colour analysis; image matching; image restoration; image retrieval; image segmentation; image sequences; image texture; maximum likelihood estimation; motion estimation; object detection; optimisation; probability; set theory; source separation; spectral analysis; stereo image processing; video coding; wavelet transforms; 3D geometry models; Gabor filter; Gibbs maximum likelihood estimation; Gray level aura matrices; computer vision; curved document images; graph theory; hidden Markov model; image coding; image restoration; image segmentation; local feature subset selection; motion estimation; optimization; pattern recognition; probability; robust colour object detection; source signal separation; spectral analysis; stereo matching sequence; surface approximation theory; texture image retrieval; video compression; wavelet transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on
Conference_Location :
Washington, DC, USA
ISSN :
1063-6919
Print_ISBN :
0-7695-2158-4
Type :
conf
DOI :
10.1109/CVPR.2004.1314997
Filename :
1314997
Link To Document :
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