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  Convexity Shape Constraints for Image Segmentation

Royer, L. A., Richmond, D. L., Andres, B., & Kainmueller, D. (2016). Convexity Shape Constraints for Image Segmentation. In 29th IEEE Conference on Computer Vision and Pattern Recognition (pp. 402-410). Los Alamitos, CA: IEEE Computer Society. doi:10.1109/CVPR.2016.50.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002A-14C4-6 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002C-2445-8
Genre: Conference Paper

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 Creators:
Royer, Loic A.1, Author
Richmond, David L.1, Author
Andres, Björn2, Author           
Kainmueller, Dagmar1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society, ou_1116547              

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Language(s): eng - English
 Dates: 2016-03-022016-12-122016
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: royer-2016
DOI: 10.1109/CVPR.2016.50
 Degree: -

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Title: 29th IEEE Conference on Computer Vision and Pattern Recognition
Place of Event: Las Vegas, NV, USA
Start-/End Date: 2016-06-26 - 2016-07-01

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Title: 29th IEEE Conference on Computer Vision and Pattern Recognition
  Abbreviation : CVPR 2016
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Los Alamitos, CA : IEEE Computer Society
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 402 - 410 Identifier: ISBN: 978-1-4673-8852-8