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» Learning Object Shape: From Drawings to Images
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ICIAP
2005
ACM
16 years 4 months ago
A Neural Adaptive Algorithm for Feature Selection and Classification of High Dimensionality Data
In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a ne...
Elisabetta Binaghi, Ignazio Gallo, Mirco Boschetti...
IVC
2006
154views more  IVC 2006»
15 years 4 months ago
Manifold based analysis of facial expression
We propose a novel approach for modeling, tracking and recognizing facial expressions. Our method works on a low dimensional expression manifold, which is obtained by Isomap embed...
Ya Chang, Changbo Hu, Rogerio Feris, Matthew Turk
PCM
2004
Springer
118views Multimedia» more  PCM 2004»
15 years 10 months ago
Reach-Through-the-Screen: A New Metaphor for Remote Collaboration
For some years, our group at FX Palo Alto Laboratory has been developing technologies to support meeting recording, collaboration, and videoconferencing. This paper presents severa...
Jonathan Foote, Qiong Liu, Don Kimber, Patrick Chi...
MVA
2007
178views Computer Vision» more  MVA 2007»
15 years 6 months ago
Linear Tracking of Pose and Facial Features
We present an approach for simultaneous monocular 3D face pose and facial animation tracking. The pose and facial features are estimated from observed raw brightness shape-free 2D...
José Alonso Ybáñez Zepeda, Fr...
CVPR
2005
IEEE
16 years 6 months ago
Simultaneous Modeling and Tracking (SMAT) of Feature Sets
A novel method for the simultaneous modeling and tracking (SMAT) of a feature set during motion sequence is proposed. The method requires no prior information. Instead the a poste...
N. D. H. Dowson, Richard Bowden