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.
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Submitted on : Wednesday, November 25, 2009 - 6:41:58 PM
Last modification on : Wednesday, September 18, 2019 - 4:36:03 PM
Long-term archiving on : Saturday, November 26, 2016 - 2:53:36 PM

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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. ⟨10.1145/1661412.1618476⟩. ⟨inria-00413588v2⟩

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