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» Estimating Illumination Direction from Textured Images
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ICPR
2006
IEEE
14 years 6 months ago
Illumination Invariant Texture Retrieval
Two fast illumination invariant image retrieval methods for scenes comprising textured objects with variable illumination are introduced. Both methods are based on texture gradien...
Michal Haindl, Pavel Vacha
ICPR
2008
IEEE
14 years 6 months ago
Illumination invariants based on Markov random fields
We propose textural features, which are invariant to illumination spectrum and extremely robust to illumination direction. They require only a single training image per texture an...
Pavel Vacha, Michal Haindl
CVPR
2003
IEEE
14 years 7 months ago
Illumination Chromaticity Estimation using Inverse-Intensity Chromaticity Space
Existing color constancy methods cannot handle both uniform colored surfaces and highly textured surfaces in a single integrated framework. Statistics-based methods require many s...
Robby T. Tan, Ko Nishino, Katsushi Ikeuchi
BMVC
2002
13 years 7 months ago
Estimating Lighting Direction and Classifying Textures
The appearance of a rough surface is affected by the direction from which it is lit and texture classifiers should account for this. We propose a classifier that is robust to ligh...
Mike J. Chantler, Ged McGunnigle, A. Penirschke, M...
ICIP
2009
IEEE
14 years 6 months ago
Illumination Invariant Unsupervised Segmenter
A novel illumination invariant unsupervised multispectral texture segmentation method with unknown number of classes is presented. Multispectral texture mosaics are locally repres...