Image-based material editing

Erum Arif Khan; Erik Reinhard; Roland W. Fleming; Heinrich H. Bülthoff

doi:10.1145/1141911.1141937

Image-based material editing

Erum Arif Khan, Erik Reinhard, Roland W. Fleming, Heinrich H. Bülthoff

Department of Brain and Cognitive Engineering

Research output: Contribution to journal › Conference article › peer-review

125 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	654-663
Number of pages	10
Journal	ACM Transactions on Graphics
Volume	25
Issue number	3
DOIs	https://doi.org/10.1145/1141911.1141937
Publication status	Published - 2006 Jul
Event	ACM SIGGRAPH 2006 - Boston, MA, United States Duration: 2006 Jul 30 → 2006 Aug 3

Keywords

High dynamic range imaging
Image-based lighting
Image-based material editing

ASJC Scopus subject areas

Computer Graphics and Computer-Aided Design

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10.1145/1141911.1141937

Cite this

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abstract = "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.",

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AU - Khan, Erum Arif

AU - Reinhard, Erik

AU - Fleming, Roland W.

AU - Bülthoff, Heinrich H.

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N2 - 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.

AB - 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.

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Image-based material editing

Abstract

Keywords

ASJC Scopus subject areas

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