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  Efficient Sparse-to-Dense Optical Flow Estimation using a Learned Basis and Layers

Wulff, J., & Black, M. J. (2015). Efficient Sparse-to-Dense Optical Flow Estimation using a Learned Basis and Layers. In 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015) (pp. 120-130). Piscataway, NJ: IEEE. doi:10.1109/CVPR.2015.7298607.

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 Creators:
Wulff, Jonas1, 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: -

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Language(s): eng - English
 Dates: 2015-10-152015
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Wulff:CVPR:2015
DOI: 10.1109/CVPR.2015.7298607
 Degree: -

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Title: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015)
Place of Event: Boston, MA
Start-/End Date: 2015-06-07 - 2015-06-12

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Title: 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 120 - 130 Identifier: ISBN: 978-1-4673-6964-0
ISBN: 978-1-4673-6963-3
ISBN: 978-1-4673-6965-7
ISSN: 1063-6919
DOI: 10.1109/CVPR31182.2015