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http://dx.doi.org/10.9717/kmms.2016.19.2.271

A New 3D Depth Reconstruction Method Adaptive to Various Environments  

Kim, Jung-Un (Dept. of media Engineering, Catholic University of Korea)
Kang, Hang-Bong (Dept. of media Engineering, Catholic University of Korea)
Publication Information
Abstract
The recent development of the HD (High Definition) and UHD (Ultra High Definition) technology allowed the growth of 3D contents market. Yet the majority of the 3D contents in the market are strictly for 6.5 cm inter-ocular distance, causing various visual discomforts for the viewers who have different inter-ocular distance. Moreover, because the 3D contents are created for a fixed viewing distance, the change of the viewing distances when watching 3D contents can also cause visual conflicts. To solve this problem, we devised techniques that consider the environmental information of the viewer watching 3D contents. By analyzing the relationship between viewing distance, inter-ocular distance, and perceived depth, we created an adaptive content viewing system that reflects the viewer's environment to minimize any conflicts in watching 3D contents. From our experiments, we found that the performance of our adaptive content viewing system was reasonable.
Keywords
3D contents; Disparity; Inpainting; Perceived Depth; Viewing Systems;
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1 A. Criminisi, P. Perez, and K. Toyama, "Object Removal by Exemplar-Based Inpainting," Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on. Vol. 2. IEEE, 2003.
2 Banich and T. Marie, Cognitive Neuroscience and Neuropsychology, Houghton Mifflin Company, Boston, 2004.
3 B. Choi, D. Choi, J. Lee, S. Lee, and S. Kim, “Depth Sensitivity of Stereoscopic Displays,” Journal of Information Display, Vol. 13, No. 1, pp. 43-49, 2012.   DOI
4 C.J. Erkelens, “Fusional Limit for a Large Random-dot Stereogram,” Vision Research, Vol. 28, No. 2, pp. 345-353, 1988.   DOI
5 D. Han, H. Kang, and S. Kim, “Measuring Perceived Depth For The Object using 3D Content Depth Measuring Instrument,” Journal of Korea Multimedia Society, Vol. 16, No. 9, pp. 1109-1118, 2013.   DOI
6 D.M. Hoffman, A.R. Girshick, K. Akeley, and M.S. Banks, “Vergence-accomendation Conflicts Hinder Visual Performance and Cause Visual Fatigue,” Journal of Vision, Vol. 8, No. 3, pp. 1-30, 2008.   DOI
7 D.M. Hoffman, A.R. Grishick, K. Akeley, and M.S. Banks, "Vergence-accommodation Conflicts Hinder Visual Performance and Cause Visual Fatigue," Journal of Vision, Vol. 8, No. 3, pp. 31-48, 2008.   DOI
8 D. Yoo, Implementation of Binocular Parallax based 3D Stereoscopic Image System Using the LCD Shuttering Method, Master's Thesis of Hanyang University of Graduate School of Education, 2002.
9 D. Zhang, O. Javed, and M. Shah, “Video Object Co-Segmentation by Regulated Maximum Weight Cliques,” Computer Vision– ECCV 2014. Springer International Publishing, pp. 551-566. 2014.
10 E. Bruce Goldstein, Sensation and Perception, Wadswort, California, 2007.
11 E.F. Tait, “Accommodative Convergence,” American Journal of Ophthalmology, Vol. 34, No. 8, pp. 1093-1107, 1951.   DOI
12 F.L. Kooi and A. Toet, "Visual Comfort of Binocular and 3D Displays," Displays 25.2 pp. 99-108. 2004.   DOI
13 Inoue, Tetsuri, Ohzu, and Hitoshi, “Accommodative Responses to Stereoscopic Threedimensional Display,” Applied Optics, Vol. 36, No. 19, pp. 4509-4515, 1997.   DOI
14 J. Choi and C. Kim, "A Study on Digital 3D Stereoscopic Contents Producing Technique," Proceedings of the Korea Multimedia Society Conference, pp. 550-553, 2010.
15 M. Bertalmío, G. Sapiro, V. Caselles, and C. Ballester., "Image Inpainting", Proceedings of Special Interest Group on Computer Graphics, pp. 417-424, 2000.
16 K. Ukai and P.A. Howarth, "Visual Fatigue Caused by Viewing Stereoscopic Motion Images: Background, Theories, and Observations," Displays, Vol. 29, No. 2, pp. 106-116, 2008.   DOI
17 M. Cheng, N.J. Mitra, and X. Huang, “Global Contrast Based Salient Region Detection” Pattern Analysis and Machine Intelligence, Vol. 37, No. 3, pp. 569-582, 2015.   DOI
18 M. Lambooij, W. Ijsselsteijn, M. Fortuin, and I. Heynderickx, "Visual Discomfort and Visual Fatigue of Stereoscopic Displays: A Review," The Journal of Imaging Science and Technology, Vol. 53, No. 3, pp. 30201, 2009.   DOI
19 R. Achanta, S. Hemami, F. Estrada, and S. Susstrunk, "Frequency-tuned Salient Region Detection," Computer vision and pattern recognition, 2009. cvpr 2009. ieee conference on. IEEE, pp. 1597-1604, 2009.
20 T. Shibata, J. Kim, D.M. Hoffman, and M.S. Banks, "The Zone of Comfort: Predicting Visual Discomfort with Stereo Diaplays," Journal of Vision, Vol. 11, No. 8, pp. 1-29, 2011.   DOI
21 T.F. Cootes, G.J. Edwards, and C.J. Taylor, “Active Appearance Models,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 23, No. 6, pp. 681-685, 2001.   DOI
22 Y. Cho, S. Cho, and G. Roh, “Evaluation of Criteria of Stereoacuity for Titmus, Randot & TNO Stereotests,” Journal of The KoreanOphthalmological Society, Vol. 40, No. 2, pp.532-537, 1999.
23 Y. Niu, Y. Geng, and L. Xuequing, "Leveraging Stereopsis for Saliency Analysis," Computer vision and pattern recognition, 2012. cvpr 2012. ieee conference on. IEEE, pp. 454-461, 2012.