Real-Time Stereo Video Disparity Optimization for Human Visual Comfort
Date Issued
2014
Date
2014
Author(s)
Cheng, Chia-Hao
Abstract
Stereo video optimization has been regarded as one of the most important subject of 3D technology. The main purpose of the research is to let the viewers free from the visual fatigue caused by traditional stereo videos. With the advances in video technology, we have higher video resolution and better image quality; however, computing disparity maps on high-resolution images is time-consuming. To solve this problem, we developed a modified algorithm that is more suitable for hardware implementation, and the system architecture is designed to be capable of processing stereo videos with a large amount of data in real time. In this thesis, we analyze the causes of visual fatigue from the human factors experiments. The depth information of stereo videos is a significant factor for human visual comfort. Panels of different sizes have different disparity range within the comfort zone, thus, visual fatigue can be relieved by adjusting the disparity range. Furthermore, with the calculated depth information, two-view images can be converted to multi-view images, such that viewers can be free from the inconvenience of wearing special 3D glasses. The methods provided in this thesis can be used as a two-view to multi-view conversion tool for multi-view auto-stereoscopic displays. Our system applies the Depth Image Based Rendering (DIBR) method, disparity map estimation and image filtering. The on-board collection of peripherals includes high-speed video interface (HDMI) and two 1Gbits SDRAMs. The system on FPGA can achieve 30 frames per second (fps) in 1080p display format, with disparity estimation search range of [-30, +30] in horizontal direction.
Subjects
Stereoscopy
3D
binocular parallax
multi-view
disparity estimation
depth image base rendering (DIBR)
FPGA
HDMI
Type
thesis
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