Image-Based Reconstruction of Spatially Varying Materials

  • Hendrik P. A. Lensch
  • Jan Kautz
  • Michael Goesele
  • Wolfgang Heidrich
  • Hans-Peter Seidel
Part of the Eurographics book series (EUROGRAPH)


The measurement of accurate material properties is an important step towards photorealistic rendering. Many real-world objects are composed of a number of materials that often show subtle changes even within a single material. Thus, for photorealistic rendering both the general surface properties as well as the spatially varying effects of the object are needed.

We present an image-based measuring method that robustly detects the different materials of real objects and fits an average bidirectional reflectance distribution function (BRDF) to each of them. In order to model the local changes as well, we project the measured data for each surface point into a basis formed by the recovered BRDFs leading to a truly spatially varying BRDF representation.

A high quality model of a real object can be generated with relatively few input data. The generated model allows for rendering under arbitrary viewing and lighting conditions and realistically reproduces the appearance of the original object.


Surface Point Bidirectional Reflectance Distribution Function Global Illumination Radiance Sample Point Light Source 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Wien 2001

Authors and Affiliations

  • Hendrik P. A. Lensch
    • 1
  • Jan Kautz
    • 1
  • Michael Goesele
    • 1
  • Wolfgang Heidrich
    • 2
  • Hans-Peter Seidel
    • 1
  1. 1.Max-Planck-Institut für InformatikSaarbrückenGermany
  2. 2.The University of British ColumbiaVancouverCanada

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