Estimation of intrinsic image sequences from image+depth video

Kyong Joon Lee, Qi Zhao, Xin Tong, Minmin Gong, Shahram Izadi, Sang Uk Lee, Ping Tan, Stephen Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

46 Scopus citations


We present a technique for estimating intrinsic images from image+depth video, such as that acquired from a Kinect camera. Intrinsic image decomposition in this context has importance in applications like object modeling, in which surface colors need to be recovered without illumination effects. The proposed method is based on two new types of decomposition constraints derived from the multiple viewpoints and reconstructed 3D scene geometry of the video data. The first type provides shading constraints that enforce relationships among the shading components of different surface points according to their similarity in surface orientation. The second type imposes temporal constraints that favor consistency in the intrinsic color of a surface point seen in different video frames, which improves decomposition in cases of view-dependent non-Lambertian reflections. Local and non-local variants of the two constraints are employed in a manner complementary to local and non-local reflectance constraints used in previous works. Together they are formulated within a linear system that allows for efficient optimization. Experimental results demonstrate that each of the new constraints appreciably elevates the quality of intrinsic image estimation, and that they jointly yield decompositions that compare favorably to current techniques.

Original languageEnglish (US)
Title of host publicationComputer Vision, ECCV 2012 - 12th European Conference on Computer Vision, Proceedings
Number of pages14
Volume7577 LNCS
EditionPART 6
StatePublished - Oct 30 2012
Event12th European Conference on Computer Vision, ECCV 2012 - Florence, Italy
Duration: Oct 7 2012Oct 13 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 6
Volume7577 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other12th European Conference on Computer Vision, ECCV 2012

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