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  Intrinsic Video

Kong, N., Gehler, P., & Black, M. J. (2014). Intrinsic Video. In D. Fleet, T. Pajdla, B. Schiele, & T. Tuytelaars (Eds.), Computer Vision - ECCV 2014. Proceedings, Part II (pp. 360-375). Cham et al.: Springer International Publishing.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0024-C6DE-D Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0024-C70D-C
Genre: Conference Paper

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 Creators:
Kong, Naejin1, Author              
Gehler, Peter1, Author              
Black, Michael J.1, Author              
Affiliations:
1Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497642              

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Free keywords: Abt. Black
 Abstract: Intrinsic images such as albedo and shading are valuable for later stages of visual processing. Previous methods for extracting albedo and shading use either single images or images together with depth data. Instead, we define intrinsic video estimation as the problem of extracting temporally coherent albedo and shading from video alone. Our approach exploits the assumption that albedo is constant over time while shading changes slowly. Optical flow aids in the accurate estimation of intrinsic video by providing temporal continuity as well as putative surface boundaries. Additionally, we find that the estimated albedo sequence can be used to improve optical flow accuracy in sequences with changing illumination. The approach makes only weak assumptions about the scene and we show that it substantially outperforms existing single-frame intrinsic image methods. We evaluate this quantitatively on synthetic sequences as well on challenging natural sequences with complex geometry, motion, and illumination.

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Language(s): eng - English
 Dates: 2014-09
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1007/978-3-319-10605-2_24
BibTex Citekey: Kong:ECCV:2014
 Degree: -

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Title: ECCV 2014 - 13th European Conference on Computer Vision
Place of Event: Zürich
Start-/End Date: 2014-09-06 - 2014-09-12

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Source 1

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Title: Computer Vision - ECCV 2014. Proceedings, Part II
Source Genre: Proceedings
 Creator(s):
Fleet, D., Editor
Pajdla, T., Editor
Schiele, B., Editor
Tuytelaars, T., Editor
Affiliations:
-
Publ. Info: Cham et al. : Springer International Publishing
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 360 - 375 Identifier: ISBN: 978-3-319-10604-5
ISBN: 978-3-319-10605-2

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 8690 Sequence Number: - Start / End Page: - Identifier: -