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» Discrete optimization in computer vision
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CVPR
2009
IEEE
17 years 1 months ago
Stochastic Gradient Kernel Density Mode-Seeking
As a well known fixed-point iteration algorithm for kernel density mode-seeking, Mean-Shift has attracted wide attention in pattern recognition field. To date, Mean-Shift algorit...
Xiaotong Yuan, Stan Z. Li
160
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CVPR
2009
IEEE
17 years 1 months ago
Single-Image Optical Center Estimation from Vignetting and Tangential Gradient Symmetry
In this paper, we propose a method for estimating the optical center of a camera given only a single image with vignetting. This is accomplished by identifying the center of the...
Yuanjie Zheng (University Of Delaware), Chandra Ka...
CVPR
2009
IEEE
1696views Computer Vision» more  CVPR 2009»
17 years 1 months ago
Fast Normalized Cut with Linear Constraints
Normalized Cut is a widely used technique for solving a variety of problems. Although finding the optimal normalized cut has proven to be NP-hard, spectral relaxations can be ap...
Linli Xu (University of Alberta), Wenye Li (Univer...
ICCV
2009
IEEE
1735views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Coded Aperture Pairs for Depth From Defocus
The classical approach to depth from defocus uses two images taken with circular apertures of different sizes. We show in this paper that the use of a circular aperture severely...
Changyin Zhou, Stephen Lin, Shree Nayar
ICCV
2009
IEEE
16 years 11 months ago
Constrained Clustering by Spectral Kernel Learning
Clustering performance can often be greatly improved by leveraging side information. In this paper, we consider constrained clustering with pairwise constraints, which specify s...
Zhenguo Li, Jianzhuang Liu