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» Acquiring Parameters of Implied Global Constraints
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CP
2005
Springer
13 years 10 months ago
Acquiring Parameters of Implied Global Constraints
This paper presents a technique for learning parameterized implied constraints. They can be added to a model to improve the solving process. Experiments on implied Gcc constraints ...
Christian Bessière, Remi Coletta, Thierry P...
TVCG
2008
162views more  TVCG 2008»
13 years 4 months ago
3D Modeling of Optically Challenging Objects
We present a system for constructing 3D models of real-world objects with optically challenging surfaces. The system utilizes a new range imaging concept called multipeak range ima...
Johnny Park, Avinash C. Kak
ECCV
2008
Springer
14 years 6 months ago
Constrained Maximum Likelihood Learning of Bayesian Networks for Facial Action Recognition
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
Cassio Polpo de Campos, Yan Tong, Qiang Ji
3DPVT
2004
IEEE
115views Visualization» more  3DPVT 2004»
13 years 8 months ago
Specularity Elimination in Range Sensing for Accurate 3D Modeling of Specular Objects
We present a novel range sensing method that is capable of constructing accurate 3D models of specular objects. Our method utilizes a new range imaging concept called multi-peak r...
Johnny Park, Avinash C. Kak