27 March 2014 Moving object-based depth map estimation using relabeling and hybrid matching
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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.
© 2014 Society of Photo-Optical Instrumentation Engineers (SPIE)
Tae-Woo Kim, Tae-Woo Kim, Jitae Shin, Jitae Shin, Byung Tae Oh, Byung Tae Oh, } "Moving object-based depth map estimation using relabeling and hybrid matching," Optical Engineering 53(3), 033108 (27 March 2014). https://doi.org/10.1117/1.OE.53.3.033108 . Submission:
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