A Free-Viewpoint Television System for Horizontal Virtual Navigation
| Autor: | Olgierd Stankiewicz, Adrian Dziembowski, Marek Domanski, Jarosław Samelak, Dawid Mieloch, Adam Grzelka |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
business.industry
Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Video camera 030229 sport sciences 02 engineering and technology Video processing Computer Science Applications law.invention View synthesis 03 medical and health sciences 0302 clinical medicine law Server Signal Processing 0202 electrical engineering electronic engineering information engineering Media Technology 020201 artificial intelligence & image processing Computer vision Artificial intelligence Electrical and Electronic Engineering business Free viewpoint television Camera module |
| Zdroj: | IEEE Transactions on Multimedia. 20:2182-2195 |
| ISSN: | 1941-0077 1520-9210 |
| DOI: | 10.1109/tmm.2018.2790162 |
| Popis: | Free-viewpoint television (FTV) and virtual navigation appear to be hot research topics. In this paper, the authors study the practical development of free-viewpoint television systems that provide the functionality of virtual horizontal navigation around real scenes. The considerations are focused on practical systems that use purely optical depth estimation and might be employed in the next few years. The architectures of such systems are discussed in detail, including acquisition, preprocessing, depth estimation, compression, and presentation. In particular, the optimization of camera locations is discussed, and it is shown that video acquisition using camera pairs is advantageous for scenes with a substantial amount of occlusions. The theoretical considerations are supported by experimental results obtained for standard test multiview video sequences. Furthermore, the paper describes FTV video acquisition systems that consist of modules with pairs of cameras. The modules are sparsely located in arbitrary positions around a scene. Each camera module is equivalent to a video camera with a depth sensor. The hardware requirements, video processing algorithms, and experimental results are reported. In particular, for such systems, a compression technique is discussed that is more efficient than the new three-dimensional HEVC technology. The paper also describes new test video sequences that are obtained from the camera pairs sparsely distributed around scenes. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|