Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2012-03-14
Computer Science
Computer Vision and Pattern Recognition
5 pages, 3 figures; Published in IJCSI Journal, Volume 9, Issue 1, No. 3, January 2012
Scientific paper
A method to obtain three-dimensional data of real-world objects by integrating their material properties is presented. The material properties are defined by capturing the Reflectance Fields of the real-world objects. It is shown, unlike conventional reconstruction methods, the method is able to use the reflectance information to recover surface depth for objects having a non-Lambertian surface reflectance. It is, for recovering 3D data of objects exhibiting an anisotropic BRDF with an error less than 0.3%.
Arias Miguel-Octavio
Sosas Maria-Luisa
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