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2001
Springer

Image-Based Reconstruction of Spatially Varying Materials

10 years 1 months ago
Image-Based Reconstruction of Spatially Varying Materials
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 ob...
Hendrik P. A. Lensch, Michael Goesele, Jan Kautz,
Added 30 Jul 2010
Updated 30 Jul 2010
Type Conference
Year 2001
Where RT
Authors Hendrik P. A. Lensch, Michael Goesele, Jan Kautz, Wolfgang Heidrich, Hans-Peter Seidel
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