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ICIP
2007
IEEE
15 years 17 days ago
Using Phase and Magnitude Information of the Complex Directional Filter Bank for Texture Image Retrieval
This paper discusses how to utilize both magnitude and phase information obtained from the complex directional lter bank (CDFB) for the purpose of texture image retrieval. The rel...
An P. N. Vo, Soontorn Oraintara, Truong T. Nguyen
ICCV
2003
IEEE
15 years 24 days ago
Multiple-cue Illumination Estimation in Textured Scenes
In this paper, we present a method that integrates cues from shading, shadow and specular reflections for estimating directional illumination in a textured scene. Texture poses a ...
Yuanzhen Li, Stephen Lin, Hanqing Lu, Heung-Yeung ...
CIVR
2007
Springer
280views Image Analysis» more  CIVR 2007»
14 years 5 months ago
Demonstration of image retrieval based on illumination invariant textural MRF features
Content-based image retrieval (CBIR) systems target database images using feature similarities with respect to the query. Our CBIR demonstration utilises novel illumination invari...
Pavel Vacha, Michal Haindl
3DPVT
2006
IEEE
144views Visualization» more  3DPVT 2006»
14 years 5 months ago
Recovering Illumination and Texture Using Ratio Images
In this paper we consider the problem of factoring illumination and texture from a pair of images of a diffuse object of known geometry. This problem arises frequently in 3D photo...
Alejandro Troccoli, Peter K. Allen
BMVC
2002
14 years 1 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...