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» Detecting Illumination in Images
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IEAAIE
2007
Springer
14 years 4 months ago
Phase-Based Feature Matching Under Illumination Variances
The problem of matching feature points in multiple images is difficult to solve when their appearance changes due to illumination variance, either by lighting or object motion. In ...
Masaaki Nishino, Atsuto Maki, Takashi Matsuyama
ROBOCUP
2007
Springer
157views Robotics» more  ROBOCUP 2007»
14 years 4 months ago
Mean-Shift-Based Color Tracking in Illuminance Change
Abstract. The mean-shift algorithm is an efficient technique for tracking 2D blobs through an image. Although it is important to adapt the mean-shift kernel to handle changes in il...
Yuji Hayashi, Hironobu Fujiyoshi
ICMCS
2006
IEEE
122views Multimedia» more  ICMCS 2006»
14 years 4 months ago
An Improved Approach to the Line-Based Face Recognition
The line-based face recognition method is distinguished by its features, but its development and application is limited to some inherent drawbacks. This paper propose a method for...
Anlong Ming, Huadong Ma
ICIP
2009
IEEE
14 years 11 months ago
Color Constancy Using Denoising Methods And Cepstral Analysis
We address here the problem of color constancy and propose two new methods for achieving color constancythe first method uses denoising techniques such as a Gaussian filter, Media...
ICCV
2003
IEEE
14 years 3 months ago
Gamut Constrained Illuminant Estimation
This paper presents a novel solution to the illuminant estimation problem: the problem of how, given an image of a scene taken under an unknown illuminant, we can recover an estim...
Graham D. Finlayson, Steven D. Hordley, Ingeborg T...