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» Computing Robustness and Persistence for Images
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ICPR
2002
IEEE
15 years 9 months ago
Hierarchical Interpretation of Human Activities Using Competitive Learning
In this paper we describe a method of learning hierarchical representations for describing and recognizing gestures expressed as one and two arm movements using competitive learni...
Harry Wechsler, Zoran Duric, Fayin Li
WACV
2002
IEEE
15 years 9 months ago
Eye Typing using Markov and Active Appearance Models
We propose a non-intrusive eye tracking system intended for the use of everyday gaze typing using web cameras. We argue that high precision in gaze tracking is not needed for on-s...
Dan Witzner Hansen, John Paulin Hansen, Mads Niels...
TOG
2002
121views more  TOG 2002»
15 years 4 months ago
A rapid hierarchical rendering technique for translucent materials
This paper introduces an efficient two-pass rendering technique for translucent materials. We decouple the computation of irradiance at the surface from the evaluation of scatteri...
Henrik Wann Jensen, Juan Buhler
ICCV
2009
IEEE
16 years 9 months ago
A Shape-Based Object Class Model for Knowledge Transfer
Object class models trained on hundreds or thousands of images have shown to enable robust detection. Transferring knowledge from such models to new object classes trained from ...
Michael Stark, Michael Goesele, Bernt Schiele
CVPR
2003
IEEE
16 years 6 months ago
Extracting Dense Features for Visual Correspondence with Graph Cuts
We present a method for extracting dense features from stereo and motion sequences. Our dense feature is defined symmetrically with respect to both images, and it is extracted dur...
Olga Veksler