Proceedings of the 1st International Conference on Information Technologies in Education and Learning

Joint Depth Map Upsampling via Prior Minimum Spanning Tree

Authors
Xiu Li, Zhixiong Yang, Lulu Xie
Corresponding Author
Xiu Li
Available Online March 2016.
DOI
https://doi.org/10.2991/icitel-15.2016.12How to use a DOI?
Keywords
Depth upsampling; Minimum Spanning Tree; Edgeaware filter; Depth super resolution; Prior map
Abstract
Depth map is the fundamental of various 3D applications. While consumer-level depth cameras have gained much attention recently due to their affordable cost, the low resolution and bad quality of depth maps generated by them have obstructed their applications in practice. In this paper, we propose a novel depth map upsampling algorithm based on prior minimum spanning tree (pMST). Utilizing the registered color and depth images, we construct a prior map which indicates the probability of the co-occurrence between depth discontinuities and color image edges. Under the joint guidance of prior map and color image, a prior minimum spanning tree is extracted and the high resolution depth map is obtained via a joint bilateral filter on the pMST. Experimental results demonstrate the effectiveness of our method compared to existing local depth super resolution methods.
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This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the 1st International Conference on Information Technologies in Education and Learning
Series
Advances in Computer Science Research
Publication Date
March 2016
ISBN
978-94-6252-168-1
ISSN
2352-538X
DOI
https://doi.org/10.2991/icitel-15.2016.12How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiu Li
AU  - Zhixiong Yang
AU  - Lulu Xie
PY  - 2016/03
DA  - 2016/03
TI  - Joint Depth Map Upsampling via Prior Minimum Spanning Tree
BT  - Proceedings of the 1st International Conference on Information Technologies in Education and Learning
PB  - Atlantis Press
SP  - 54
EP  - 59
SN  - 2352-538X
UR  - https://doi.org/10.2991/icitel-15.2016.12
DO  - https://doi.org/10.2991/icitel-15.2016.12
ID  - Li2016/03
ER  -