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» Deriving Facial Articulation Models from Image Sequences
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ICCV
2007
IEEE
14 years 2 months ago
Simultaneous Segmentation and 3D Reconstruction of Monocular Image Sequences
When trying to extract 3D scene information and camera motion from an image sequence alone, it is often necessary to cope with independently moving objects. Recent research has un...
Kemal Egemen Ozden, Konrad Schindler, Luc J. Van G...
ICMCS
2000
IEEE
213views Multimedia» more  ICMCS 2000»
14 years 5 days ago
Extending Databases to Support Image Editing
In order to understand similarity between images, recent research has focused on adaptable searches [9] and fuzzy queries [4]. However, one of the best means for determining simil...
Gregory D. Speegle, Allen M. Gao, Shaowen Hu, Le G...
CVPR
1998
IEEE
14 years 9 months ago
Motion Feature Detection Using Steerable Flow Fields
The estimation and detection of occlusion boundaries and moving bars are important and challenging problems in image sequence analysis. Here, we model such motion features as line...
David J. Fleet, Michael J. Black, Allan D. Jepson
FGR
2008
IEEE
260views Biometrics» more  FGR 2008»
14 years 2 months ago
On the sustained tracking of human motion
In this paper, we propose an algorithm for sustained tracking of humans, where we combine frame-to-frame articulated motion estimation with a per-frame body detection algorithm. T...
Yaser Sheikh, Ankur Datta, Takeo Kanade
CVPR
2003
IEEE
14 years 9 months ago
Using Multiple Cues for Hand Tracking and Model Refinement
We present a model based approach to the integration of multiple cues for tracking high degree of freedom articulated motions and model refinement. We then apply it to the problem...
Shan Lu, Dimitris N. Metaxas, Dimitris Samaras, Jo...