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Optical Engineering

Moving object-based depth map estimation using relabeling and hybrid matching
Author(s): Tae-Woo Kim; Jitae Shin; Byung Tae Oh
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Paper Abstract

Schemes to enhance human visual perception in three-dimensional (3-D) video applications with depth map data are proposed. Depth estimation is an important part of free viewpoint television and 3-DTV because the accuracy of depth information directly affects the synthesized video quality at an intermediate viewpoint. However, generating an accurate depth map is a complex computational process that makes real-time implementation challenging. In order to obtain accurate depth information with low complexity, a depth map relabeling algorithm and a hybrid matching algorithm are proposed in the depth estimation step. These techniques in acquisition for a depth map are based on human perception, which is more sensitive to moving objects than to a static background. Also, they consider the importance of appropriate processing of object boundaries. Experimental results demonstrate that the proposed schemes provide a synthesized view with both higher subjective visual quality and better objective quality in terms of peak signal-to-noise ratio than legacy depth estimation reference software.

Paper Details

Date Published: 27 March 2014
PDF: 9 pages
Opt. Eng. 53(3) 033108 doi: 10.1117/1.OE.53.3.033108
Published in: Optical Engineering Volume 53, Issue 3
Show Author Affiliations
Tae-Woo Kim, Sungkyunkwan Univ. (Korea, Republic of)
Jitae Shin, Sungkyunkwan Univ. (Korea, Republic of)
Byung Tae Oh, Korea Aerospace Univ. (Korea, Republic of)

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