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» Graph-Theoretical Methods in Computer Vision
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ICCV
2009
IEEE
15 years 4 months ago
Kernel map compression using generalized radial basis functions
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
Omar Arif, Patricio A. Vela
ICCV
2009
IEEE
15 years 4 months ago
Consensus set maximization with guaranteed global optimality for robust geometry estimation
Finding the largest consensus set is one of the key ideas used by the original RANSAC for removing outliers in robust-estimation. However, because of its random and non-determinis...
Hongdong Li
ICCV
2011
IEEE
14 years 6 months ago
Optimal Estimation of Vanishing Points in a Manhattan World
In this paper, we present an analytical method for computing the globally optimal estimates of orthogonal vanishing points in a “Manhattan world” with a calibrated camera. We ...
Faraz Mirzaei, Stergios Roumeliotis
205
Voted
CVPR
2004
IEEE
16 years 8 months ago
Bayesian Face Recognition Using Support Vector Machine and Face Clustering
In this paper, we first develop a direct Bayesian based Support Vector Machine by combining the Bayesian analysis with the SVM. Unlike traditional SVM-based face recognition metho...
Zhifeng Li, Xiaoou Tang
165
Voted
ICCV
1999
IEEE
16 years 8 months ago
Appearance Compression and Synthesis based on 3D Model for Mixed Reality
Rendering photorealistic virtual objects from their real images is one of the main research issues in mixed reality systems. We previously proposed the Eigen-Texture method, a new...
Ko Nishino, Yoichi Sato, Katsushi Ikeuchi