DocumentCode :
2217747
Title :
An efficient BRDF acquisition for glossy surface
Author :
Li, Chang Jiang ; Zhang, Zhong ; Imamura, Takashi ; Miyaki, Tetsuo
Author_Institution :
Instrum. Syst. Lab., Toyohashi Univ. of Technol., Toyohashi, Japan
Volume :
2
fYear :
2010
fDate :
20-22 Aug. 2010
Abstract :
An efficient BRDF(Bidirectional Reflectance Distribution Function) measurement of glossy surface by photometric stereo was proposed. We assume that the surface reflectance can be approximated by the sum of a Lambertian and a specular component. We define the best window in one image and classify the patches into the diffuse points and the mix ones according to their radiance values. The diffuse parameter and surface normal are recovered by the diffuse points and the darkest three pixels of four pixels. The specular reflectance parameters are recovered by the specular components of mix points which normal and diffuse parameter are known. In the last, all reflection parameters are refined by minimizing the fitting error of the reflectance model. Experiments show that the reflectance of glossy object can be recovered in a good precision by the proposed method.
Keywords :
image classification; light reflection; reflectivity; stereo image processing; BRDF acquisition; Lambertian sum; bidirectional reflectance distribution function; glossy surface; patches classification; photometric stereo; radiance values; specular component; surface reflectance; Computers; Education; Rough surfaces; Support vector machine classification; Surface roughness; WARD model; classification of points; photometric stereo; reflectance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location :
Chengdu
ISSN :
2154-7491
Print_ISBN :
978-1-4244-6539-2
Type :
conf
DOI :
10.1109/ICACTE.2010.5579112
Filename :
5579112
Link To Document :
بازگشت