Investigation of object thickness for visual discomfort prediction in stereoscopic images

Hosik Sohn; Yong Ju Jung; Seong-il Lee; Hyun Wook Park; Yong Man Ro

doi:10.1117/12.908418

22 February 2012 Investigation of object thickness for visual discomfort prediction in stereoscopic images

Hosik Sohn, Yong Ju Jung, Seong-il Lee, Hyun Wook Park, Yong Man Ro

Proceedings Volume 8288, Stereoscopic Displays and Applications XXIII; 82880Q (2012) https://doi.org/10.1117/12.908418
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States

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.

Citation Download Citation

Hosik Sohn, Yong Ju Jung, Seong-il Lee, Hyun Wook Park, and Yong Man Ro "Investigation of object thickness for visual discomfort prediction in stereoscopic images", Proc. SPIE 8288, Stereoscopic Displays and Applications XXIII, 82880Q (22 February 2012); https://doi.org/10.1117/12.908418

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