Stereoscopic depth perception measurement for 2D/3D converted contents

Owing to the development of 3D industry, the number of 3D contents is growing. However, there does not exist yet a clear, precise criterion to objectively evaluate the quality of these contents. In this paper, we propose a method to measure, among 2D-plus-Depth image quality measure factors, the stereoscopic depth perception. To measure the variety of depth values and the amount of depth-perceived objects, which are assumed to be depth perception-related, we propose two methods, which are based on the histogram and gradient of depth image, respectively. Experimental results show that the proposed methods can accurately estimate depth perception quality.

[1]  Sumio Yano,et al.  A study of visual fatigue and visual comfort for 3D HDTV/HDTV images , 2002 .

[2]  Ahmet M. Kondoz,et al.  Quality Evaluation of Color Plus Depth Map-Based Stereoscopic Video , 2009, IEEE Journal of Selected Topics in Signal Processing.

[3]  Kwanghoon Sohn,et al.  Visual fatigue evaluation and enhancement for 2D-plus-depth video , 2010, 2010 IEEE International Conference on Image Processing.

[4]  H. Kalva,et al.  3D Video Quality Evaluation with Depth Quality Variations , 2008, 2008 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video.

[5]  Kwanghoon Sohn,et al.  Depth map quality metric for three-dimensional video , 2009, Electronic Imaging.

[6]  Kwanghoon Sohn,et al.  Depth adjustment for stereoscopic image using visual fatigue prediction and depth-based view synthesis , 2010, 2010 IEEE International Conference on Multimedia and Expo.

[7]  Fumio Okano,et al.  Measurement of parallax distribution and its application to the analysis of visual comfort for stereoscopic HDTV , 2003, IS&T/SPIE Electronic Imaging.

[8]  Liang-Gee Chen,et al.  A 2D-to-3D conversion system using edge information , 2010, 2010 Digest of Technical Papers International Conference on Consumer Electronics (ICCE).

[9]  Liang-Gee Chen,et al.  Depth Map Generation for 2D-to-3D Conversion by Short-Term Motion Assisted Color Segmentation , 2007, 2007 IEEE International Conference on Multimedia and Expo.

[10]  Guihua Er,et al.  Objective quality assessment of depth image based rendering in 3DTV system , 2009, 2009 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video.