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  Correspondences of Persistent Feature Points on Near-isometric Surfaces

Yang, Y., Günther, D., Wuhrer, S., Brunton, A., Ivrissimtzis, I., Seidel, H.-P., et al. (2012). Correspondences of Persistent Feature Points on Near-isometric Surfaces. In A. Fusiello, V. Murino, & R. Cucchiara (Eds.), Computer Vision - ECCV 2012 (pp. 102-112). Berlin: Springer.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0015-0DFB-2 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0023-F94B-F
Genre: Conference Paper

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 Creators:
Yang, Ying1, Author           
Günther, David1, Author           
Wuhrer, Stefanie1, Author           
Brunton, Alan2, Author           
Ivrissimtzis, Ioannis2, Author           
Seidel, Hans-Peter1, Author           
Weinkauf, Tino1, Author           
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 2012
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: yang12
Other: Local-ID: 2862002BA9203D8AC1257AD80048C3AC-yang12
DOI: 10.1007/978-3-642-33863-2_11
 Degree: -

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Title: 12th European Conference on Computer Vision
Place of Event: Florence, Italy
Start-/End Date: 2012-10-07 - 2012-10-13

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Title: Computer Vision - ECCV 2012
  Subtitle : Workshops and Demonstrations ; Florence, Italy, October 7-13, 2012 ; Proceedings, Part I
  Abbreviation : ECCV 2012
Source Genre: Proceedings
 Creator(s):
Fusiello, Andrea1, Editor
Murino, Vittorio1, Editor
Cucchiara, Rita1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Berlin : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 102 - 112 Identifier: ISBN: 978-3-642-33862-5
ISBN: 978-3-642-33863-2

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Title: Lecture Notes in Computer Science
  Abbreviation : LNCS
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 7583 Sequence Number: - Start / End Page: - Identifier: ISSN: 0302-9743
ISSN: 1611-3349