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» Graph-Theoretical Methods in Computer Vision
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CVPR
2005
IEEE
14 years 10 months ago
The Modified pbM-Estimator Method and a Runtime Analysis Technique for the RANSAC Family
Robust regression techniques are used today in many computer vision algorithms. Chen and Meer recently presented a new robust regression technique named the projection based M-est...
Stas Rozenfeld, Ilan Shimshoni
ICCV
2007
IEEE
14 years 3 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...
ICPR
2000
IEEE
14 years 9 months ago
Exact Computation of Area Moments for Spline and Wavelet Curves
We present an exact algorithm for the computation of the moments of a region bounded by a curve represented in a scaling function or wavelet basis. Using Green's theorem, we ...
Mathews Jacob, Thierry Blu, Michael Unser
ICCV
2001
IEEE
14 years 10 months ago
Computing Visual Correspondence with Occlusions via Graph Cuts
Several new algorithms for visual correspondence based on graph cuts [6, 13, 16] have recently been developed. While these methods give very strong results in practice, they do no...
Vladimir Kolmogorov, Ramin Zabih
ICCV
2001
IEEE
14 years 10 months ago
A General Imaging Model and a Method for Finding its Parameters
Linear perspective projection has served as the dominant imaging model in computer vision. Recent developments in image sensing make the perspective model highly restrictive. This...
Michael D. Grossberg, Shree K. Nayar