Object-based depth image-based rendering for a three-dimensional video system by color-correction optimization

Feng Shao; Gang-yi Jiang; Mei Yu; Yun Zhang

doi:10.1117/1.3569627

1 April 2011 Object-based depth image-based rendering for a three-dimensional video system by color-correction optimization

Feng Shao, Gang-yi Jiang, Mei Yu, Yun Zhang

Author Affiliations +

Optical Engineering, Vol. 50, Issue 4, 047006 (April 2011). https://doi.org/10.1117/1.3569627

Abstract

Three-dimensional (3-D) video technologies are becoming increasingly popular because they can provide high quality and immersive experience to end users. Depth image-based rendering (DIBR) is a key technology in 3-D video systems due to its low bandwidth cost as well as the arbitrary rendering viewpoint. We propose an object-based DIBR method by color-correction optimization. The proposed method first performs temporal consistent rendering to reduce the rendering complexity. Then, by segmenting the depth map into foreground and background, the object-based scalable rendering is performed to improve the rendering quality and reduce the rendering complexity. Finally, the rendered virtual view is further optimized by color-correction operation. Experimental results show that, compared to the results without the above optimization operations, the proposed method can reduce >40% computational complexity while maintaining high rendering quality.

©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Feng Shao, Gang-yi Jiang, Mei Yu, and Yun Zhang "Object-based depth image-based rendering for a three-dimensional video system by color-correction optimization," Optical Engineering 50(4), 047006 (1 April 2011). https://doi.org/10.1117/1.3569627

Published: 1 April 2011

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