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Proceedings Paper

Investigation of object thickness for visual discomfort prediction in stereoscopic images
Author(s): Hosik Sohn; Yong Ju Jung; Seong-il Lee; Hyun Wook Park; Yong Man Ro
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Paper Abstract

Visual discomfort assessment metric is of importance in the creation and viewing of stereoscopic 3D contents. This paper investigates the importance of considering object thickness as well as disparity magnitude to predict visual discomfort. Throughout the paper, we introduce the overall process to predict visual discomfort by analyzing the thickness of objects and their disparity magnitude in an image. Using natural stereoscopic images, we evaluate the contribution of object thickness to the prediction performance of visual discomfort. Experimental results demonstrate that the combined use of disparity magnitude and object thickness substantially improves the prediction performance of visual discomfort.

Paper Details

Date Published: 22 February 2012
PDF: 8 pages
Proc. SPIE 8288, Stereoscopic Displays and Applications XXIII, 82880Q (22 February 2012); doi: 10.1117/12.908418
Show Author Affiliations
Hosik Sohn, KAIST (Korea, Republic of)
Yong Ju Jung, KAIST (Korea, Republic of)
Seong-il Lee, KAIST (Korea, Republic of)
Hyun Wook Park, KAIST (Korea, Republic of)
Yong Man Ro, KAIST (Korea, Republic of)

Published in SPIE Proceedings Vol. 8288:
Stereoscopic Displays and Applications XXIII
Andrew J. Woods; Nicolas S. Holliman; Gregg E. Favalora, Editor(s)

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