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» Improved Diffuse Reflection Models for Computer Vision
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ICCV
2007
IEEE
15 years 4 months ago
A Multi-Image Restoration Method for Image Reconstruction from Projections
in Proc. IEEE Int’l Conf. on Computer Vision (ICCV), October, 2007 Traditional Bayesian restoration methods depend heavily on the accuracy of underlying generative models. For t...
Yunqiang Chen, Lin Cheng, Tong Fang, Rainer Raupac...
BMVC
2002
15 years 8 days ago
Randomized RANSAC with T(d, d) test
Many computer vision algorithms include a robust estimation step where model parameters are computed from a data set containing a significant proportion of outliers. The RANSAC al...
Jiri Matas, Ondrej Chum
ECCV
2008
Springer
15 years 11 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
ECCV
2010
Springer
15 years 2 months ago
What, Where & How Many? Combining Object Detectors and CRFs
Abstract. Computer vision algorithms for individual tasks such as object recognition, detection and segmentation have shown impressive results in the recent past. The next challeng...
IJCV
2002
157views more  IJCV 2002»
14 years 9 months ago
Hamilton-Jacobi Skeletons
In an effort to articulate models for the intuitive representation and manipulation of 2D and 3D forms, Blum (1967, 1973) invented the notion of a skeleton. His insight was to con...
Kaleem Siddiqi, Sylvain Bouix, Allen Tannenbaum, S...