Depth adjustment for stereoscopic images and subjective preference evaluation

Donghyun Kim; Sunghwan Choi; Kwanghoon Sohn

doi:10.1117/1.3624499

1 July 2011 Depth adjustment for stereoscopic images and subjective preference evaluation

Donghyun Kim, Sunghwan Choi, Kwanghoon Sohn

Author Affiliations +

Funded by: IT R&D program of MKE/KCC/KEIT, NIPA

Journal of Electronic Imaging, Vol. 20, Issue 3, 033011 (July 2011). https://doi.org/10.1117/1.3624499

Abstract

Visual fatigue is a common problem when viewing stereoscopic images. We propose a depth adjustment method that controls the amount of disparity in stereoscopic images using visual fatigue prediction and conducted subjective preference evaluation based on individual fusional response characteristics. Visual fatigue level is predicted by examining the characteristics of horizontal disparity. Viewers are classified into two groups (those with normal susceptibility to visual fatigue and those with high susceptibility to visual fatigue) according to individual fusional limit and speed of fusion, which are determined using a random dot stereogram test. Subjective preferences for the amount of depth adjustment are investigated based on the degree of fusion ability. Our experimental results support the suitability of the proposed depth adjustment method for reducing visual fatigue.

©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Donghyun Kim, Sunghwan Choi, and Kwanghoon Sohn "Depth adjustment for stereoscopic images and subjective preference evaluation," Journal of Electronic Imaging 20(3), 033011 (1 July 2011). https://doi.org/10.1117/1.3624499

Published: 1 July 2011

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