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» Diagonal principal component analysis for face recognition
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JMM2
2006
110views more  JMM2 2006»
13 years 10 months ago
Two-Stage PCA Extracts Spatiotemporal Features for Gait Recognition
We propose a technique for gait recognition from motion capture data based on two successive stages of principal component analysis (PCA) on kinematic data. The first stage of PCA ...
Sandhitsu R. Das, Robert C. Wilson, Maciej T. Laza...
ICDAR
2003
IEEE
14 years 3 months ago
Visualizing Multimedia Content on Paper Documents: Components of Key Frame Selection for Video Paper
The components of a key frame selection algorithm for a paper-based multimedia browsing interface called Video Paper are described. Analysis of video image frames is combined with...
Jonathan J. Hull, Berna Erol, Jamey Graham, Dar-Sh...
CVPR
2000
IEEE
15 years 11 days ago
Recognizing Upper Face Action Units for Facial Expression Analysis
We develop an automatic system to analyze subtle changes in upper face expressions based on both permanent facial features (brows, eyes, mouth)andtransient facial features (deepen...
Ying-li Tian, Takeo Kanade, Jeffrey F. Cohn
ICIP
2003
IEEE
14 years 12 months ago
An integrated algorithm of incremental and robust PCA
Principal Component Analysis (PCA) is a well-established technique in image processing and pattern recognition. Incremental PCA and robust PCA are two interesting problems with nu...
Yongmin Li Li, Li-Qun Xu, Jason Morphett, Richard ...
ICDAR
2007
IEEE
14 years 4 months ago
Extraction of Vectorized Graphical Information from Scientific Chart Images
Graphical components information extraction is a crucial step in the chart recognition and understanding process. However, existing methods of information extraction from chart im...
Weihua Huang, Ruizhe Liu, Chew Lim Tan