3D plane labeling stereo matching with content aware adaptive windows

Luis Horna carranza; Robert Fisher

doi:10.5220/0006105401620171

3D plane labeling stereo matching with content aware adaptive windows

Luis Horna carranza, Robert Fisher

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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
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	https://doi.org/10.5220/0006105401620171
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
Publisher	SCITEPRESS
ISSN (Electronic)	2184-4321

Conference

Conference	12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Abbreviated title	VISIGRAPP 2017
Country	Portugal
City	Porto
Period	27/02/17 → 1/03/17
Internet address	http://www.visigrapp.org/

Access to Document

10.5220/0006105401620171

visapphornaAccepted author manuscript, 1.2 MB

https://www.scitepress.org/PublicationsDetail.aspx?ID=veGnzQ5JdEg=&t=1

Cite this

@inproceedings{96eb232e37e244b5b6db415a76f2f222,

title = "3D plane labeling stereo matching with content aware adaptive windows",

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.",

author = "{Horna carranza}, Luis and Robert Fisher",

year = "2017",

month = mar,

day = "1",

doi = "10.5220/0006105401620171",

language = "English",

isbn = "978-989-758-227-1",

publisher = "SCITEPRESS",

pages = "162--171",

booktitle = "Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications",

note = "12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2017 ; Conference date: 27-02-2017 Through 01-03-2017",

url = "http://www.visigrapp.org/",

}

Horna carranza, L & Fisher, R 2017, 3D plane labeling stereo matching with content aware adaptive windows. in Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. SCITEPRESS, pp. 162-171, 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Porto, Portugal, 27/02/17. https://doi.org/10.5220/0006105401620171

TY - GEN

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AU - Horna carranza, Luis

AU - Fisher, Robert

PY - 2017/3/1

Y1 - 2017/3/1

N2 - 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.

AB - 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.

U2 - 10.5220/0006105401620171

DO - 10.5220/0006105401620171

M3 - Conference contribution

SN - 978-989-758-227-1

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BT - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

PB - SCITEPRESS

T2 - 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

Y2 - 27 February 2017 through 1 March 2017

ER -

3D plane labeling stereo matching with content aware adaptive windows

Abstract

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Conference

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Cite this