Proceedings of the 2014 International Conference on Computer Science and Electronic Technology

A Depth Map Acquired By Integrated Imaging Based On Adaptive Matching Window

Authors
Xia Wen, Yu Wang, Yan Piao
Corresponding Author
Xia Wen
Available Online January 2015.
DOI
10.2991/iccset-14.2015.85How to use a DOI?
Keywords
Integrated imaging, Stereo matching, View, Adaptive window, Depth map
Abstract

In this paper, we prose a method to obtain the depth map based on adaptive matching window by Integrated imaging technology. This method combines the boundary information in I1I2I3 color space and minimum threshold value of the window effectively. So that the self-adapted matching window could adjust its size and shape to improve the matching accuracy. Furthermore, in order to take advantage of multiple views of the integrated imaging, the consistency checking method is introduced into integrated imaging to reduce the false matching rate. Experimental results show that the proposed method can obtain the depth map with high accuracy.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2014 International Conference on Computer Science and Electronic Technology
Series
Advances in Computer Science Research
Publication Date
January 2015
ISBN
10.2991/iccset-14.2015.85
ISSN
2352-538X
DOI
10.2991/iccset-14.2015.85How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xia Wen
AU  - Yu Wang
AU  - Yan Piao
PY  - 2015/01
DA  - 2015/01
TI  - A Depth Map Acquired By Integrated Imaging Based On Adaptive Matching Window
BT  - Proceedings of the 2014 International Conference on Computer Science and Electronic Technology
PB  - Atlantis Press
SP  - 383
EP  - 386
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccset-14.2015.85
DO  - 10.2991/iccset-14.2015.85
ID  - Wen2015/01
ER  -