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Image-based material editing

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons83913

Reinhard E, Fleming,  RW
Research Group Computational Vision and Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons83839

Bülthoff,  HH
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Zitation

Kahn, E., Reinhard E, Fleming, R., & Bülthoff, H. (2006). Image-based material editing. ACM Transactions on Graphics, 25(3), 654-663. doi:http://doi.acm.org/10.1145/1179352.1141937.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0013-D0DB-B
Zusammenfassung
Photo editing software allows digital images to be blurred, warped or re-colored at the touch of a button. However, it is not currently possible to change the material appearance of an object except by painstakingly painting over the appropriate pixels. Here we present a method for automatically replacing one material with another, completely different material, starting with only a single high dynamic range image as input. Our approach exploits the fact that human vision is surprisingly tolerant of certain (sometimes enormous) physical inaccuracies, while being sensitive to others. By adjusting our simulations to be careful about those aspects to which the human visual system is sensitive, we are for the first time able to demonstrate significant material changes on the basis of a single photograph as input.