Abstract
In this paper, we present an algorithm that exploits both the underlying 3D structure and image entropy to generate an adaptive matching window. The presented algorithm estimates real valued disparity maps by smartly exploring a 3D search space using a novel hypothesis generation approach that acts like a propagation scheduler. The proposed approach is among the top performing results when evaluated in the Middlebury, KITTI 2015 benchmarks.
Original language | English |
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Title of host publication | Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications |
Publisher | SCITEPRESS |
Pages | 162-171 |
Number of pages | 10 |
ISBN (Print) | 978-989-758-227-1 |
DOIs | |
Publication status | Published - 1 Mar 2017 |
Event | 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Porto, Portugal Duration: 27 Feb 2017 → 1 Mar 2017 http://www.visigrapp.org/ |
Publication series
Name | |
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Publisher | SCITEPRESS |
ISSN (Electronic) | 2184-4321 |
Conference
Conference | 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications |
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Abbreviated title | VISIGRAPP 2017 |
Country/Territory | Portugal |
City | Porto |
Period | 27/02/17 → 1/03/17 |
Internet address |