Groundtruth Data for Multispectral Bidirectional Texture Functions

In proceedings of CGIV 2010, Society for Imaging Science and Technology, Joensuu, Finland, pages 326-330, Juni 2010
 

Abstract

In this paper we present a method for the acquisition of multispectral Bidirectional Texture Functions (BTFs) for the color correct reproduction of complex materials in virtual scenes with arbitrary illumination. We explain our acquisition setup in detail as well as its careful calibration. The main purpose of the described setup is to provide accurate groundtruth data to verify future methods for simplified multispectral BTF measurements as well as techniques for efficient compression and rendering of multispectral BTF data. We show the accuracy of data obtained with our setup by comparing rendered images to photographs of real scenes. We also verify our datasets using reference measurements obtained with a spectrometer.

Bilder

Bibtex

@INPROCEEDINGS{rump-2010-spectralbtf,
        author = {Rump, Martin and Sarlette, Ralf and Klein, Reinhard},
         pages = {326--330},
         title = {Groundtruth Data for Multispectral Bidirectional Texture Functions},
     booktitle = {CGIV 2010},
          year = {2010},
         month = jun,
      location = {Joensuu, Finland},
  organization = {Society for Imaging Science and Technology},
      abstract = {In this paper we present a method for the acquisition of multispectral
                  Bidirectional Texture Functions (BTFs) for the color correct
                  reproduction of complex materials in virtual scenes with
                  arbitrary illumination. We explain our acquisition setup in detail
                  as well as its careful calibration. The main purpose of the
                  described setup is to provide accurate groundtruth data to verify
                  future methods for simplified multispectral BTF measurements
                  as well as techniques for efficient compression and rendering of
                  multispectral BTF data. We show the accuracy of data obtained
                  with our setup by comparing rendered images to photographs of
                  real scenes. We also verify our datasets using reference measurements
                  obtained with a spectrometer.}
}