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» A Framework for Representing Moving Objects
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94
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CVPR
1999
IEEE
15 years 11 months ago
Shape from Recognition and Learning: Recovery of 3-D Face Shapes
In this paper, a novel framework for the recovery of 3D surfaces of faces from single images is developed. The underlying principle is shape from recognition, i.e. the idea that p...
Dibyendu Nandy, Jezekiel Ben-Arie
CVPR
2008
IEEE
15 years 11 months ago
Granularity and elasticity adaptation in visual tracking
The observation models in tracking algorithms are critical to both tracking performance and applicable scenarios but are often simplified to focus on fixed level of certain target...
Ming Yang, Ying Wu
CVPR
2008
IEEE
15 years 11 months ago
Globally optimal bilinear programming for computer vision applications
We present a practical algorithm that provably achieves the global optimum for a class of bilinear programs commonly arising in computer vision applications. Our approach relies o...
Manmohan Krishna Chandraker, David J. Kriegman
75
Voted
ICCV
2005
IEEE
15 years 11 months ago
Appearance Modeling Under Geometric Context
We propose a unified framework based on a general definition of geometric transform (GeT) for modeling appearance. GeT represents the appearance by applying designed functionals o...
Jian Li, Shaohua Kevin Zhou, Rama Chellappa
MICCAI
2005
Springer
15 years 10 months ago
Using the Fast Marching Method to Extract Curves with Given Global Properties
Abstract. Curves are often used as anatomical features to match surfaces that represent biological objects, such as the human brain. Automated and semi-automated methods for extrac...
Xiaodong Tao, Christos Davatzikos, Jerry L. Prince