| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 538434 | Displays | 2015 | 11 Pages |
•We present a real-time stereoscopic 3D rendering pipeline to reduce visual fatigue when watching 3D TV.•We implement the rendering pipeline in a system based on Linux and Windows.•Each algorithm of the pipeline is programmed into the system.•Computational complexity of each algorithm blocks are evaluated with sample 720p and 1080p stereo frames.•It is found that the real-time stereoscopic 3D rendering is impossible with software implementation only.
3D video has recently seen a massive increase in exposure in our lives. However, differences between the viewing and shooting conditions for a film lead to disparities between the reformed media and the original three-dimensional effect, which cause severe visual fatigue to viewers and result in headaches and dizziness. In this paper, a series of image processing algorithms are introduced to overcome these problems. The image processing pipeline is composed of four steps, eye-pupil detection, stereo correspondence computation, saliency map generation, and 3D warping. Each step is implemented in an S3DS-3D rendering system and its time complexity is measured. From the results, it was found that real-time stereoscopic 3D rendering is impossible using only a software implementation because SIFT and optical flow calculation requires a significant amount of time. Therefore, these two algorithm blocks should be implemented with hardware acceleration. Fortunately, active research is being conducted on these issues and real-time processing is expected to become available soon for applications beyond full-HD TV screens. In addition, it was found that saliency map generation and 3D warping blocks also need to be implemented in hardware for full-HD display although they do not have significant time complexity compared to SIFT and optical flow algorithm blocks.
