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  Live User-guided Intrinsic Video For Static Scenes

Meka, A., Fox, G., Zollhöfer, M., Richardt, C., & Theobalt, C. (2017). Live User-guided Intrinsic Video For Static Scenes. IEEE Transactions on Visualization and Computer Graphics, 23(11), 2447-2454. doi:10.1109/TVCG.2017.2734425.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002E-05CC-6 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002E-05CD-4
Genre: Journal Article

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 Creators:
Meka, Abhimitra1, Author              
Fox, Gereon2, Author
Zollhöfer, Michael1, Author              
Richardt, Christian2, Author              
Theobalt, Christian1, Author              
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              
2External Organizations, ou_persistent22              

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 Abstract: We present a novel real-time approach for user-guided intrinsic decomposition of static scenes captured by an RGB-D sensor. In the first step, we acquire a three-dimensional representation of the scene using a dense volumetric reconstruction framework. The obtained reconstruction serves as a proxy to densely fuse reflectance estimates and to store user-provided constraints in three-dimensional space. User constraints, in the form of constant shading and reflectance strokes, can be placed directly on the real-world geometry using an intuitive touch-based interaction metaphor, or using interactive mouse strokes. Fusing the decomposition results and constraints in three-dimensional space allows for robust propagation of this information to novel views by re-projection.We leverage this information to improve on the decomposition quality of existing intrinsic video decomposition techniques by further constraining the ill-posed decomposition problem. In addition to improved decomposition quality, we show a variety of live augmented reality applications such as recoloring of objects, relighting of scenes and editing of material appearance.

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Language(s): eng - English
 Dates: 20172017
 Publication Status: Published in print
 Pages: 12 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Meka2017
DOI: 10.1109/TVCG.2017.2734425
 Degree: -

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Title: IEEE Transactions on Visualization and Computer Graphics
Source Genre: Journal
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Publ. Info: New York, NY : IEEE Computer Society
Pages: - Volume / Issue: 23 (11) Sequence Number: - Start / End Page: 2447 - 2454 Identifier: ISSN: 1077-2626
CoNE: https://pure.mpg.de/cone/journals/resource/954925605807