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» Principal Component Analysis Based on L1-Norm Maximization
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ICPR
2000
IEEE
15 years 10 months ago
Visual Extraction of Motion-Based Information from Image Sequences
We describe a system which is designed to assist in extracting high-level information from sets or sequences of images. We show that the method of principal components analysis fo...
David P. Gibson, Neill W. Campbell, Colin J. Dalto...
AVBPA
2001
Springer
157views Biometrics» more  AVBPA 2001»
15 years 2 months ago
EigenGait: Motion-Based Recognition of People Using Image Self-Similarity
We present a novel technique for motion-based recognition of individual gaits in monocular sequences. Recent work has suggested that the image self-similarity plot of a moving per...
Chiraz BenAbdelkader, Ross Cutler, Harsh Nanda, La...
CVPR
2008
IEEE
14 years 11 months ago
Demosaicking recognition with applications in digital photo authentication based on a quadratic pixel correlation model
Most digital still color cameras use a single electronic sensor (CCD or CMOS) overlaid with a color filter array. At each pixel location only one color sample is taken, and the ot...
Yizhen Huang, Yangjing Long
SADM
2010
173views more  SADM 2010»
14 years 4 months ago
Data reduction in classification: A simulated annealing based projection method
This paper is concerned with classifying high dimensional data into one of two categories. In various settings, such as when dealing with fMRI and microarray data, the number of v...
Tian Siva Tian, Rand R. Wilcox, Gareth M. James
ICCV
2005
IEEE
15 years 11 months ago
Probabilistic Contour Extraction Using Hierarchical Shape Representation
In this paper, we address the issue of extracting contour of the object with a specific shape. A hierarchical graphical model is proposed to represent shape variations. A complex ...
Xin Fan, Chun Qi, Dequn Liang, Hua Huang