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» Deriving Facial Articulation Models from Image Sequences
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IVC
2006
154views more  IVC 2006»
13 years 7 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
CVPR
2000
IEEE
14 years 9 months ago
Recovering Non-Rigid 3D Shape from Image Streams
This paper addresses the problem of recovering 3D non-rigid shape models from image sequences. For example, given a video recording of a talking person, we would like to estimate ...
Christoph Bregler, Aaron Hertzmann, Henning Bierma...
TIP
2008
269views more  TIP 2008»
13 years 7 months ago
An Example-Based Face Hallucination Method for Single-Frame, Low-Resolution Facial Images
This paper proposes a face hallucination method for the reconstruction of high-resolution facial images from single-frame, low-resolution facial images. The proposed method has bee...
Jeong-Seon Park, Seong-Whan Lee
ECCV
2006
Springer
13 years 11 months ago
Articulated-Body Tracking Through Anisotropic Edge Detection
This paper addresses the problem of articulated motion tracking from image sequences. We describe a method that relies on both an explicit parameterization of the extremal contours...
David Knossow, Joost van de Weijer, Radu Horaud, R...
CVPR
2000
IEEE
14 years 9 months ago
Representation and Recognition of Complex Human Motion
The quest for a vision system capable of representing and recognizing arbitrary motions benefits from a low dimensional, non-specific representation of flow fields, to be used in ...
Jesse Hoey, James J. Little