• 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