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An epipolar-constrained prior for efficient search in multi-view scenarios

Author
Bosch, I.; Salvador, J.; Pérez, E.; Ruiz-Hidalgo, J.
Type of activity
Presentation of work at congresses
Name of edition
22nd European Signal Processing Conference
Date of publication
2014
Presentation's date
2014-09-04
Book of congress proceedings
2014 Proceedings of the 22nd European Signal Processing Conference (EUSIPCO): 1-5 September 2014: Lisbon, Portugal
First page
1667
Last page
1671
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Repository
http://hdl.handle.net/2117/24818 Open in new window
URL
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6952613&queryText%3Dprior+for+efficient+search Open in new window
Abstract
In this paper we propose a novel framework for fast exploitation of multi-view cues with applicability in different image processing problems. In order to bring our proposed framework into practice, an epipolar-constrained prior is presented, onto which a random search algorithm is proposed to find good matches among the different views of the same scene. This algorithm includes a generalization of the local coherency in 2D images for multi-view wide-baseline cases. Experimental results show tha...
Citation
Bosch, I. [et al.]. An epipolar-constrained prior for efficient search in multi-view scenarios. A: European Signal Processing Conference. "2014 Proceedings of the 22nd European Signal Processing Conference (EUSIPCO): 1-5 September 2014: Lisbon, Portugal". Lisbon: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 1667-1671.
Keywords
Approximate nearest neighbor, Deblurring, Epipolar line, Super resolution
Group of research
GPI - Image and Video Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

Participants

  • Bosch Reig, Ignacio  (author and speaker )
  • Salvador, Jordi  (author and speaker )
  • Pérez Pellitero, Eduardo  (author and speaker )
  • Ruiz Hidalgo, Javier  (author and speaker )