Optimizing a Virtual Re-Convergence System to Reduce Visual Fatigue in Stereoscopic Camera

Abstract

SUMMARYIn this paper, we propose an optimized virtual reconvergence system especially to reduce the visual fatigue caused by binocular 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. Therefore, our system facilitates a unique search-range scheme, especially for negative disparity exploration. In addition, we used a dedicated method, using a so-called Global-Shift Value (GSV), which are the total shift values of each image in stereoscopy to converge a main object that can mostly affect visual fatigue. The experimental result, which is a subjective assessment by participants, shows that the proposed method makes stereoscopy significantly comfortable and attractive to view than existing methods.

Probabilistic assessment of visual fatigue caused by stereoscopy using dynamic Bayesian networks

“…, natural vision represents zero disparity. Zero disparity is a converged domain of stereoscopic imaging; meanwhile, the zero disparity area is commonly referred as a comfortable zone of stereoscopic imaging (Kim & Cho ; Bang et al. ).…”

Visual fatigue measurement model in stereoscopy based on Bayesian network

“…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.…”