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Since each location of the object is observed by many cameras from many views, we can attempt to factor the surface reflectance of the object (using the current shape estimate) into a specular and diffuse component.
See the following papers for an inspiration:
- Y. Yu, P. Debevec,
J. Malik, and T. Hawkins.
Inverse global
illumination: Recovering reflectance models of real scenes from
photographs.
- Hendrik
P. A. Lensch, Jan Kautz, Michael Goesele Goesele, Wolfgang Heidrich, and
Hans-Peter Seidel.
Image-based reconstruction of spatially varying materials march 2001, 20
pages.
Technical report, MPI Informatik, 2001.
- R. Ramamoorthi and P. Hanrahan.
A signal-processing
framework for inverse rendering.
In Proc. of ACM SIGGRAPH, 2001.
- Stephen R. Marschner.
Inverse
Rendering for Computer Graphics.
PhD thesis, Cornell University, 1998.
- Ravi Ramamoorthi.
A
Signal-Processing Framework for Forward and Inverse Rendering.
PhD thesis, Stanford University, August 2002.
- Yoichi Sato and
Katsushi Ikeuchi.
Reflectance analysis for 3d computer graphics model generation.
CVGIP Graphical Models and Image Processing, 58:437 -- 451,
September 1996.
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