Abstract
A 3D video is expected to be a representative technique of realistic system but still has some problems such as visual fatigue and headache. In this paper, we propose a visual fatigue evaluation algorithm to predict the degree of visual fatigue from a 2D-plus-depth video. Spatial and temporal characteristics of the depth video are main factors of visual fatigue for autostereoscopic displays. Using depth image directly, we estimate spatial and temporal complexities, depth position and scene movement of the 3D video. Then, the overall visual fatigue of the 3D video is evaluated to have higher correlation with subjective fatigue evaluation by a linear regression. Moreover we control the pixel value of depth image from the 3D video which may induce severe fatigue to make more comfortable 3D video. The results of proposed algorithm show a considerable correlation with subjective visual fatigue.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
