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CVPR
2004
IEEE
14 years 10 months ago
Efficient Belief Propagation for Early Vision
Markov random field models provide a robust and unified framework for early vision problems such as stereo, optical flow and image restoration. Inference algorithms based on graph...
Pedro F. Felzenszwalb, Daniel P. Huttenlocher
TIP
2008
208views more  TIP 2008»
13 years 8 months ago
Vision Processing for Realtime 3-D Data Acquisition Based on Coded Structured Light
Structured light vision systems have been successfully used for accurate measurement of 3-D surfaces in computer vision. However, their applications are mainly limited to scanning ...
S. Y. Chen, Y. F. Li, Jianwei Zhang
BMCBI
2006
137views more  BMCBI 2006»
13 years 8 months ago
A maximum likelihood framework for protein design
Background: The aim of protein design is to predict amino-acid sequences compatible with a given target structure. Traditionally envisioned as a purely thermodynamic question, thi...
Claudia L. Kleinman, Nicolas Rodrigue, Céci...
JGTOOLS
2008
189views more  JGTOOLS 2008»
13 years 8 months ago
Subtractive Shadows: A Flexible Framework for Shadow Level of Detail
Abstract. We explore the implications of reversing the process of shadow computation for real-time applications that model complex reflectance and lighting (such as that specified ...
Christopher DeCoro, Szymon Rusinkiewicz
CVPR
2005
IEEE
14 years 10 months ago
Statistical Cue Integration for Foveated Wide-Field Surveillance
Reliable detection of human activity is an unsolved problem. The main is that low resolution and the unconstrained nature of realistic environments and human behaviourmakeform cue...
Simon J. D. Prince, James H. Elder, Yuqian Hou, Mi...