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» Deriving Facial Articulation Models from Image Sequences
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AIPR
2001
IEEE
13 years 11 months ago
Model-Based Face Tracking for Dense Motion Field Estimation
When estimating the dense motion field of a video sequence, if little is known or assumed about the content, a limited constraint approach such as optical flow must be used. Since...
Timothy F. Gee, Russell M. Mersereau
CVPR
2008
IEEE
14 years 9 months ago
A factorization approach to structure from motion with shape priors
This paper presents an approach for including 3D prior models into a factorization framework for structure from motion. The proposed method computes a closed-form affine fit which...
Alessio Del Bue
ICRA
2008
IEEE
288views Robotics» more  ICRA 2008»
14 years 2 months ago
Human tracking and segmentation supported by silhouette-based gait recognition
— Gait recognition has recently gained attention as an effective approach to identify individuals at a distance from a camera. Most existing gait recognition algorithms assume th...
Junqiu Wang, Yasushi Makihara, Yasushi Yagi
DGCI
2000
Springer
14 years 3 days ago
Deformable Modeling for Characterizing Biomedical Shape Changes
Abstract. We present a new algorithm for modeling and characterizing shape changes in 3D image sequences of biomedical structures. Our algorithm tracks the shape changes of the obj...
Matthieu Ferrant, Benoit M. Macq, Arya Nabavi, Sim...
FGR
2004
IEEE
230views Biometrics» more  FGR 2004»
13 years 11 months ago
Tracking Humans using Prior and Learned Representations of Shape and Appearance
Tracking a moving person is challenging because a person's appearance in images changes significantly due to articulation, viewpoint changes, and lighting variation across a ...
Jongwoo Lim, David J. Kriegman