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» Nonparametric color characterization using mean shift
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ICIP
2007
IEEE
14 years 9 months ago
Conditions for Color Misregistration Sensitivity in Clustered-dot Halftones
Misregistration between the color separations of a printed image, which is often inevitable, can cause objectionable color shifts in average color. We analyze the impact of inter-...
Basak Oztan, Gaurav Sharma, Robert P. Loce
ICPR
2006
IEEE
14 years 8 months ago
Nonparametric Background Generation
A novel background generation method based on nonparametric background model is presented for background subtraction. We introduce a new model, named as effect components descript...
Debin Zhao, Hongxun Yao, Wen Gao, Xilin Chen, Yazh...
CVPR
2008
IEEE
14 years 9 months ago
Generalised blurring mean-shift algorithms for nonparametric clustering
Gaussian blurring mean-shift (GBMS) is a nonparametric clustering algorithm, having a single bandwidth parameter that controls the number of clusters. The algorithm iteratively sh...
Miguel Á. Carreira-Perpiñán
ECCV
2002
Springer
14 years 9 months ago
Robust Computer Vision through Kernel Density Estimation
Abstract. Two new techniques based on nonparametric estimation of probability densities are introduced which improve on the performance of equivalent robust methods currently emplo...
Haifeng Chen, Peter Meer
CVPR
2011
IEEE
13 years 4 months ago
Unsupervised Local Color Correction for Coarsely Registered Images
The current paper proposes a new parametric local color correction technique. Initially, several color transfer functions are computed from the output of the mean shift color se...
Miguel Oliveira, Angel D. Sappa, Vitor Santos