User-assisted intrinsic images
Name
Durand-User-assisted intrinsic.pdf
Size
23.53 MB
Format
Adobe PDF
Checksum (MD5)
8d4cf38358e485f34c801a19d1f2460e
Author(s)
Bousseau, Adrien
Paris, Sylvain
Durand, Fredo
Date Issued
December 2009
Journal
Proceedings of ACM SIGGRAPH Asia 2009, ACM Transactions on Graphics (TOG)
Publisher
Association for Computing Machinery
Citation
Bousseau, Adrien, Sylvain Paris, and Frédo Durand. “User-assisted Intrinsic Images.” ACM Transactions on Graphics (TOG), ACM Press, Volume 28 Issue 5, December 2009. Web.
Version
Author's final manuscript
Abstract
For many computational photography applications, the lighting and
materials in the scene are critical pieces of information. We seek
to obtain intrinsic images, which decompose a photo into the product
of an illumination component that represents lighting effects
and a reflectance component that is the color of the observed material.
This is an under-constrained problem and automatic methods
are challenged by complex natural images. We describe a new
approach that enables users to guide an optimization with simple
indications such as regions of constant reflectance or illumination.
Based on a simple assumption on local reflectance distributions, we
derive a new propagation energy that enables a closed form solution
using linear least-squares. We achieve fast performance by introducing
a novel downsampling that preserves local color distributions.
We demonstrate intrinsic image decomposition on a variety
of images and show applications.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike 3.0
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DOI of Published Version
https://doi.org/10.1145/1661412.1618476
