DocumentCode :
2590020
Title :
Consistent surface color for texturing large objects in outdoor scenes
Author :
Kawakami, Rei ; Ikeuchi, Katsushi ; Tan, Robby T.
Author_Institution :
Tokyo Univ.
Volume :
2
fYear :
2005
fDate :
17-21 Oct. 2005
Firstpage :
1200
Abstract :
Color appearance of an object is significantly influenced by the color of the illumination. When the illumination color changes, the color appearance of the object change accordingly, causing its appearance to be inconsistent. To arrive at color constancy, we have developed a physics-based method of estimating and removing the illumination color. In this paper, we focus on the use of this method to deal with outdoor scenes, since very few physics-based methods have successfully handled outdoor color constancy. Our method is principally based on shadowed and non-shadowed regions. Previously researchers have discovered that shadowed regions are illuminated by sky light, while non-shadowed regions are illuminated by a combination of sky light and sunlight. Based on this difference of illumination, we estimate the illumination colors (both the sunlight and the sky light) and then remove them. To reliably estimate the illumination colors in outdoor scenes, we include the analysis of noise, since the presence of noise is inevitable in natural images. As a result, compared to existing methods, the proposed method is more effective and robust in handling outdoor scenes. In addition, the proposed method requires only a single input image, making it useful for many applications of computer vision
Keywords :
image colour analysis; image texture; natural scenes; color appearance; computer vision; illumination color; natural image; noise analysis; object texturing; outdoor color constancy; outdoor scene; physics-based method; shadowed region; surface color; Application software; Colored noise; Computer vision; Image analysis; Image color analysis; Layout; Lighting; Noise robustness; Optical reflection; Surface texture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on
Conference_Location :
Beijing
ISSN :
1550-5499
Print_ISBN :
0-7695-2334-X
Type :
conf
DOI :
10.1109/ICCV.2005.62
Filename :
1544857
Link To Document :
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