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Conference Paper

Image-Based Reconstruction of Spatially Varying Materials

MPS-Authors
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Lensch,  Hendrik P. A.
Computer Graphics, MPI for Informatics, Max Planck Society;

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Kautz,  Jan
Computer Graphics, MPI for Informatics, Max Planck Society;

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Goesele,  Michael
Computer Graphics, MPI for Informatics, Max Planck Society;

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Heidrich,  Wolfgang
Computer Graphics, MPI for Informatics, Max Planck Society;

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Seidel,  Hans-Peter       
Computer Graphics, MPI for Informatics, Max Planck Society;

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Citation

Lensch, H. P. A., Kautz, J., Goesele, M., Heidrich, W., & Seidel, H.-P. (2001). Image-Based Reconstruction of Spatially Varying Materials. In S. Gortler, & K. Myszkowski (Eds.), Rendering Techniques 2001 (pp. 103-114). Vienna, Austria: Springer.


Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-32A1-7
Abstract
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.