A Real-Time Virtual Re-Convergence Hardware Platform

Abstract

Abstract-In this paper, we propose a real-time virtual re-convergence hardware platform especially to reduce the visual fatigue caused by stereoscopy. Our unique idea to reduce visual fatigue is to utilize the virtual re-convergence based on the optimized disparity-map that contains more depth information in the negative disparity area than in the positive area. Our virtual re-convergence hardware platform, which consists of image rectification, disparity estimation, depth post-processing, and virtual view control, is realized in real time with 60 fps on a single Xilinx Virtex-5 FPGA chip.

Visual fatigue measurement model in stereoscopy based on Bayesian network

“…Therefore, negative disparity can incur more visual fatigue than positive disparity. 17,7 Yilmaz and Gudukbay 18 point that the crosstalk (or ghosting effect) is the faded image viewed by the untargeted eye. This effect is undesirable because it may cause visual fatigue and other problems.…”

“…A zero disparity plane is a converged domain of stereoscopic imaging, and also the zero disparity area is commonly referred to as a comfortable zone of stereoscopic imaging. 16,17 Depending on the stereoscopic disparity, different 3-D imaging positions can be implemented, such as in front of or behind the screen. Stereoscopic disparity refers to the difference in image location of one object viewed by the left and right eyes.…”

Full high-definition real-time depth estimation for three-dimensional video system

“…Compared to global algorithms of stereo matching (e.g., graph cut), 12 belief propagation (BP), 13 whose calculation is a complex local (area-based) algorithm, has hardware friendly characteristics. A single matching algorithm strategy, such as the sum of absolute difference (SAD) based [14][15][16][17] or census based [18][19][20][21] were widely used in the hardware designs, early research, and other matching methods, such as the dynamic programming algorithm 22 and BP, 23 were implemented based on a GPU platform. Previous works illustrate that a hardware solution provides real-time processing.…”