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» Background estimation from non-time sequence images
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MVA
2007
178views Computer Vision» more  MVA 2007»
15 years 3 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...
FGR
1998
IEEE
170views Biometrics» more  FGR 1998»
15 years 6 months ago
Feature-Point Tracking by Optical Flow Discriminates Subtle Differences in Facial Expression
Current approaches to automated analysis have focused on a small set of prototypic expressions (e.g., joy or anger). Prototypic expressions occur infrequently in everyday life, ho...
Jeffrey F. Cohn, Adena J. Zlochower, James Jenn-Ji...
TITS
2008
158views more  TITS 2008»
15 years 1 months ago
Real-Time Incremental Segmentation and Tracking of Vehicles at Low Camera Angles Using Stable Features
We present a method for segmenting and tracking vehicles on highways using a camera that is relatively low to the ground. At such low angles, 3-D perspective effects cause signific...
Neeraj K. Kanhere, Stanley T. Birchfield
ICIP
2001
IEEE
16 years 3 months ago
Closed surface reconstruction in X-ray tomography
We study the 3D reconstruction of a binary scene from X-ray tomographic data. In the special case of a compact and uniform object lying in a uniform background, the scene is entir...
Ali Mohammad-Djafari, Charles Soussen
CVPR
2006
IEEE
15 years 8 months ago
Specular Flow and the Recovery of Surface Structure
In scenes containing specular objects, the image motion observed by a moving camera may be an intermixed combination of optical flow resulting from diffuse reflectance (diffuse ...
Stefan Roth, Michael J. Black