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  A Multi-View Stereo Benchmark with High-Resolution Images and Multi-Camera Videos

Schöps, T., Schönberger, J. L., Galliani, S., Sattler, T., Schindler, K., Pollefeys, M., et al. (2017). A Multi-View Stereo Benchmark with High-Resolution Images and Multi-Camera Videos. In Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 (pp. 2538-2547). Piscataway, NJ, USA: IEEE. doi:10.1109/CVPR.2017.272.

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Genre: Conference Paper

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 Creators:
Schöps, Thomas1, Author
Schönberger, Johannes L.1, Author
Galliani, Silvano1, Author
Sattler, Torsten1, Author
Schindler, Konrad1, Author
Pollefeys, Marc1, Author
Geiger, Andreas2, Author           
Affiliations:
1External Organizations, ou_persistent22              
2Max Planck Research Group Autonomous Vision, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_2344692              

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Free keywords: Forschungsgruppe Geiger
 Abstract: -

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Language(s): eng - English
 Dates: 2017-11-092017-07
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Schoeps2017CVPR
DOI: 10.1109/CVPR.2017.272
 Degree: -

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Title: IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Place of Event: Honolulu, HI, USA
Start-/End Date: 2017-07-21 - 2017-07-26

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Title: Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Piscataway, NJ, USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 2538 - 2547 Identifier: ISBN: 978-1-5386-0457-1
ISBN: 978-1-5386-0458-8
ISSN: 1063-6919