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Published Articles >> Table of Contents >> Abstract
2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) - Volume 1
pp. 234-239
Color Alignment in Texture Mapping of Images under Point Light Source and General Lighting Condition
Hiroki Unten, University of Tokyo
Katsushi Ikeuchi, University of Tokyo
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CVPR.2004.61
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| Abstract |
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Recently, creating digital contents through measurements of the real world has become an important technique in the field of virtual reality, digital preservation of cultural heritages and so forth. One of the effective methods for creating such digital contents is texture mapping, which maps color images on a 3D geometric model. This method has two problems: geometric and photometric. The geometric problem lies mostly in how to estimate the camera position and rotation relative to the 3D position of the target object. The photometric problem deals with color consistencies between input textures. Most studies on texture mapping focus on the geometric problem, while only a few works deal with the photometric problem. In this paper we propose two novel methods for color alignment in texture mapping. One method is based on the fact that chromaticity of images is independent from their geometric data. The other method utilizes the basis image of a point light source on an illumination sphere. In both methods, the pseudo-albedo is estimated and the color consistency between the input images is accomplished.
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 Additional Information
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Citation:
Hiroki Unten, Katsushi Ikeuchi,
"Color Alignment in Texture Mapping of Images under Point Light Source and General Lighting Condition,"
cvpr,
pp. 234-239,
2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) - Volume 1,
2004
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