doi: 10.7763/IJCTE.2014.V6.884
The Extraction of Depth Discontinuities Using Disparity Map for Human Visual Fatigue
- 1Department of Cyber & Police Science of the University of Young-San at Yangsan, Kyungnam.
- 2Department of Computer Engineering of the University of Young-San at Yangsan, Kyungnam.
- 3School of Undeclared Majors, University Collage of the University of Young-San at Busan.
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.
Keywords
- Depth discontinuities
- DIP
- disparity map
- human visual fatigue
How to 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. https://doi.org/10.7763/IJCTE.2014.V6.884
Copyright & License
Copyright © 2014 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).