Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4947295 | Neurocomputing | 2017 | 25 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Meiqin Liu, Yao Zhao, Jie Liang, Chunyu Lin, Huihui Bai, Chao Yao,