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  Joint 3D-reconstruction and Background Separation in Multiple Views using Graph Cuts

Goldluecke, B., & Magnor, M. (2003). Joint 3D-reconstruction and Background Separation in Multiple Views using Graph Cuts. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR-03) (pp. 683-694). Los Alamitos, USA: IEEE.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-2D5A-F Version Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-2D5B-D
Genre: Conference Paper

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 Creators:
Goldluecke, Bastian1, 2, Author           
Magnor, Marcus2, Author           
Affiliations:
1International Max Planck Research School, MPI for Informatics, Max Planck Society, ou_1116551              
2Graphics - Optics - Vision, MPI for Informatics, Max Planck Society, ou_1116549              

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 Abstract: This paper deals with simultaneous depth map estimation and background separation in a multi-view setting with several fixed calibrated cameras, two problems which have previously been addressed separately. We demonstrate that their strong interdependency can be exploited elegantly by minimizing a discrete energy functional which evaluates both properties at the same time. Our algorithm is derived from the powerful ``Multi-Camera Scene Reconstruction via Graph Cuts'' algorithm recently presented by Kolmogorov and Zabih. Experiments with both real-world as well as synthetic scenes demonstrate that the presented combined approach yields even more correct depth estimates. In particular, the additional information gained by taking background into account increases considerably the algorithm's robustness against noise.

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Language(s): eng - English
 Dates: 2004-07-072003
 Publication Status: Issued
 Pages: -
 Publishing info: Los Alamitos, USA : IEEE
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 202037
Other: Local-ID: C1256BDE005F57A8-52D68D202CC0ACD1C1256CF000485E8A-Goldluecke2003:joint
 Degree: -

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Title: Untitled Event
Place of Event: Madison, Wisconsin, USA
Start-/End Date: 2003-06-18

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Title: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR-03)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Los Alamitos, USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 683 - 694 Identifier: ISBN: 0-7695-1900-8