Abstract—The complexity of the world is a factor of
evaluating the visual fatigue of 3D video. Depth discontinuities
are the layers of the world and can be a characteristic of the
complexity of the world. We suppose a new method to extract a
depth discontinuities from a disparity map. We employed DIP
algorithm for extraction of the depth discontinuities with a
learned threshold automatically inferred based on the average
and standard deviation of the disparity, that is, depth of the
stereoscopy.
Index Terms—Depth discontinuities, DIP, disparity map,
human visual fatigue.
G. J. So is with the Department of Cyber & Police Science of the
University of Young-San at Yangsan, Kyungnam (e-mail: kjso@ ysu.ac.kr).
S. H. Kim is with the Department of Computer Engineering of the
University of Young-San at Yangsan, Kyungnam (e-mail: ksh50@
ysu.ac.kr).
J. Y. Kim is with the School of Undeclared Majors, University Collage of
the University of Young-San at Busan (e-mail: neocopy@ ysu.ac.kr).
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Cite:Gil Ja So, Sang Hyun Kim, and Jun Yeop Kim, "The Extraction of Depth Discontinuities Using Disparity Map for Human Visual Fatigue," International Journal of Computer Theory and Engineering vol. 6, no. 4, pp. 330-335, 2014.
