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2009
Conference Paper
Title

Relighting objects from image collections

Abstract
We present an approach for recovering the reflectance of a static scene with known geometry from a collection of images taken under distant, unknown illumination. In contrast to previous work, we allow the illumination to vary between the images, which greatly increases the applicability of the approach. Using an all-frequency relighting framework based on wavelets, we are able to simultaneously estimate the per-image incident illumination and the persurface point reflectance. The wavelet framework allows for incorporating various reflection models. We demonstrate the quality of our results for synthetic test cases as well as for several datasets captured under laboratory conditions. Combined with multi-view stereo reconstruction, we are even able to recover the geometry and reflectance of a scene solely using images collected from the Internet.
Author(s)
Haber, Tom
Hasselt University
Fuchs, Christian
Univ. Ulm
Bekaert, Philippe
Hasselt University
Seidel, Hans-Peter
MPI Informatik
Goesele, Michael
TU Darmstadt GRIS
Lensch, Hendrik P.A.
Univ. Ulm
Mainwork
IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009. DVD-ROM  
Conference
Conference on Computer Vision and Pattern Recognition (CVPR) 2009  
DOI
10.1109/CVPR.2009.5206753
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • computer vision

  • wavelet

  • internet

  • community photo collection

  • relighting

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