Back to Search
Start Over
Depth map up-sampling with fractal dimension and texture-depth boundary consistencies.
- 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