User Assisted Intrinsic Images

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.
Type de document :
Article dans une revue
ACM Transactions on Graphics, Association for Computing Machinery, 2009, Proceedings of SIGGRAPH Asia 2009, 28 (5), pp.130:1-10



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Contributeur : Adrien Bousseau <>
Soumis le : mercredi 25 novembre 2009 - 18:41:58
Dernière modification le : lundi 18 mars 2013 - 00:23:08
Document(s) archivé(s) le : samedi 26 novembre 2016 - 14:53:36

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  • HAL Id : inria-00413588, version 2

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Adrien Bousseau, Sylvain Paris, Frédo Durand. User Assisted Intrinsic Images. ACM Transactions on Graphics, Association for Computing Machinery, 2009, Proceedings of SIGGRAPH Asia 2009, 28 (5), pp.130:1-10. <inria-00413588v2>

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