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Depth map up-sampling with fractal dimension and texture-depth boundary consistencies.

Authors :
Liu, Meiqin
Zhao, Yao
Liang, Jie
Lin, Chunyu
Bai, Huihui
Yao, Chao
Source :
Neurocomputing. Sep2017, Vol. 257, p185-192. 8p.
Publication Year :
2017

Abstract

The resolution of the depth map captured by a time-of-flight camera is rather limited; hence, it cannot be directly used to build a high-quality 3D model, together with an associated high-resolution texture image. In this paper, an improved depth up-sampling algorithm that considers two important characteristics of the depth map is proposed. First, the invariance of the fractal dimension between the low-resolution and high-resolution depth maps is maintained. Second, the boundaries of the depth map and its corresponding texture image are made to be consistent to provide a good synthesized virtual view. The experimental results show that the proposed method achieves superior performance for the up-sampled depth map and synthesized virtual view compared with classical approaches. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09252312
Volume :
257
Database :
Academic Search Index
Journal :
Neurocomputing
Publication Type :
Academic Journal
Accession number :
123503610
Full Text :
https://doi.org/10.1016/j.neucom.2016.11.067