Please use this identifier to cite or link to this item: https://doi.org/10.1109/CVPR.2008.4587660
Title: Intrinsic image decomposition with non-local texture cues
Authors: Shen, L.
Tan, P. 
Lin, S.
Issue Date: 2008
Source: Shen, L.,Tan, P.,Lin, S. (2008). Intrinsic image decomposition with non-local texture cues. 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR : -. ScholarBank@NUS Repository. https://doi.org/10.1109/CVPR.2008.4587660
Abstract: We present a method for decomposing an image into its intrinsic reflectance and shading components. Different from previous work, our method examines texture information to obtain constraints on reflectance among pixels that may be distant from one another in the image. We observe that distinct points with the same intensity-normalized texture configuration generally have the same reflectance value. The separation of shading and reflectance components should thus be performed in a manner that guarantees these non-local constraints. We formulate intrinsic image decomposition by adding these non-local texture constraints to the local derivative analysis employed in conventional techniques. Our results show a significant improvement in performance, with better recovery of global reflectance and shading structure than by previous methods. ©2008 IEEE.
Source Title: 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR
URI: http://scholarbank.nus.edu.sg/handle/10635/70662
ISBN: 9781424422432
DOI: 10.1109/CVPR.2008.4587660
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