“Sparse lumigraph relighting by illumination and reflectance estimation from multi-view images” by Yu, Wang, Ahuja and Chen

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Title:

    Sparse lumigraph relighting by illumination and reflectance estimation from multi-view images

Session/Category Title:   Sound & Fury


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Abstract:


    We present a novel image-based modeling technique which allows simultaneous estimation of Illumination, diffuse, and specular albedo maps using only object geometry and multi-view images captured under a single, unknown illumination setting.

References:


    1. A. Hertzmann and S. Seitz. Example-based photometric stereo: Shape reconstruction with general, varying BRDFs. IEEE Trans. PAMI, 27(8):1254–1264, 2005.
    2. H. P. A. Lensch, J. Kautz, M. Goesele, W. Heidrich, and H.-P. Seidel. Image-based reconstruction of spatial appearance and geometric detail. ACM Trans. Graph., 22(2):234–257, 2003.
    3. K. Nishino, Z. Zhang, and K. Ikeuchi. Re-rendering from a sparse set of images. Technical Report DU-CS-05-12, Dept. of Computer Science, Drexel University, 2005.


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