• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Enhancing Depth Accuracy on the Region of Interest in a Scene for Depth Image Based Rendering


Abstract

This research proposed the domain division depth map quantization for multiview intermediate image generation using Depth Image-Based Rendering (DIBR). This technique used per-pixel depth quantization according to the percentage of depth bits assigned in domains of depth range. A comparative experiment was conducted to investigate the potential benefits of the proposed method against the linear depth quantization on DIBR multiview intermediate image generation. The experiment evaluated three quantization methods with computer-generated 3D scenes, which consisted of various scene complexities and backgrounds, under varying the depth resolution. The results showed that the proposed domain division depth quantization method outperformed the linear method on the 7- bit or lower depth map, especially in the scene with the large object.


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Cite this article

[IEEE Style]
Y. Cho, K. Seo and K. S. Park, "Enhancing Depth Accuracy on the Region of Interest in a Scene for Depth Image Based Rendering," KSII Transactions on Internet and Information Systems, vol. 8, no. 7, pp. 2434-2448, 2014. DOI: 10.3837/tiis.2014.07.013.

[ACM Style]
Yongjoo Cho, Kiyoung Seo, and Kyoung Shin Park. 2014. Enhancing Depth Accuracy on the Region of Interest in a Scene for Depth Image Based Rendering. KSII Transactions on Internet and Information Systems, 8, 7, (2014), 2434-2448. DOI: 10.3837/tiis.2014.07.013.