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  High Accuracy Optical Flow Serves 3-D Pose Tracking: Exploiting Contour and Flow Based Constraints

Brox, T., Rosenhahn, B., Cremers, D., & Seidel, H.-P. (2006). High Accuracy Optical Flow Serves 3-D Pose Tracking: Exploiting Contour and Flow Based Constraints. In A. Leonarids, H. Bishof, & A. Prinz (Eds.), Computer Vision -- ECCV 2006 (pp. 98-111). Berlin, Germany: Springer.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-2312-A Version Permalink: https://hdl.handle.net/21.11116/0000-000F-45AA-4
Genre: Conference Paper

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Locator:
https://rdcu.be/dHSST (Publisher version)
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 Creators:
Brox, Thomas1, Author
Rosenhahn, Bodo2, Author           
Cremers, Daniel1, Author
Seidel, Hans-Peter2, Author                 
Affiliations:
1External Organizations, ou_persistent22              
2Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

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 Abstract: Tracking the 3-D pose of an object needs correspondences between 2-D features
in the image and their 3-D counterparts in the object model. A large variety of
such features has been suggested in the literature. All of them have drawbacks
in one situation or the other since their extraction in the image and/or the
matching is prone to errors. In this paper, we propose to use two complementary
types of features for pose tracking, such that one type makes up for the
shortcomings of the other. Aside from the object contour, which is matched to a
free-form object surface, we suggest to employ the optic flow in order to
compute additional point correspondences. Optic flow estimation is a mature
research field with sophisticated algorithms available. Using here a high
quality method ensures a reliable matching. In our experiments we demonstrate
the performance of our method and in particular the improvements due to the
optic flow.
We gratefully acknowledge funding by the German Research Foundation (DFG) and
the Max Planck Center for Visual Computing and Communication.

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Language(s): eng - English
 Dates: 2007-03-012006
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 314597
Other: Local-ID: C125675300671F7B-4A30277A8F182676C125722D0051A663-RosenhahnECCV2006
BibTex Citekey: Brox-et-al_ECCV06
DOI: 10.1007/11744047_8
 Degree: -

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Title: 9th European Conference on Computer Vision
Place of Event: Graz, Austria
Start-/End Date: 2006-05-07 - 2006-05-13

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Source 1

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Title: Computer Vision -- ECCV 2006
  Subtitle : 9th European Conference on Computer Vision, Graz, Austria, May 7-13, 2006, Proceedings, Part II
  Abbreviation : ECCV 2006
Source Genre: Proceedings
 Creator(s):
Leonarids, Ales1, Editor
Bishof, Horst1, Editor
Prinz, Axel1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 98 - 111 Identifier: ISBN: 978-3-540-33834-5

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Title: Lecture Notes in Computer Science
  Abbreviation : LNCS
Source Genre: Series
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Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 3952 Sequence Number: - Start / End Page: - Identifier: -