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» Deriving Facial Articulation Models from Image Sequences
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IVC
2006
154views more  IVC 2006»
14 years 9 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
15 years 11 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»
14 years 9 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
15 years 1 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
15 years 11 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