Visual Fatigue Reduction Based on Depth Adjustment for DIBR System

• Ran Liu,
• Yingchun Tan,
• Fengchun Tian,
• Hui Xie,
• Guoqin Tai,
• Weimin Tan,
• Junling Liu,
• Xiaoyan Xu,
• Chaibou Kadri,
• Naana Abakah,

Vol. 6, No. 4, April 24, 2012
10.3837/tiis.2012.04.013, Download Paper (Free):

• 3D TV
• depth-image-based rendering
• depth adjustment
• 3D image warping
• visual fatigue

Abstract

A depth adjustment method for visual fatigue reduction for depth-image-based rendering (DIBR) system is proposed. One important aspect of the method is that no calibration parameters are needed for adjustment. By analyzing 3D image warping, the perceived depth is expressed as a function of three adjustable parameters: virtual view number, scale factor and depth value of zero parallax setting (ZPS) plane. Adjusting these three parameters according to the proposed parameter modification algorithm when performing 3D image warping can effectively change the perceived depth of stereo pairs generated in DIBR system. As the depth adjustment is performed in simple 3D image warping equations, the proposed method is facilitative for hardware implementation. Experimental results show that the proposed depth adjustment method provides an improvement in visual comfort of stereo pairs as well as generating comfortable stereoscopic images with different perceived depths that people desire.

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