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Sensors 2015, 15(7), 15246-15264; doi:10.3390/s150715246

A Novel 2D-to-3D Video Conversion Method Using Time-Coherent Depth Maps

Institute of Microelectronics, Tsinghua University, Beijing 100084, China
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Author to whom correspondence should be addressed.
Academic Editor: Gonzalo Pajares Martinsanz
Received: 12 April 2015 / Revised: 20 June 2015 / Accepted: 23 June 2015 / Published: 29 June 2015
(This article belongs to the Section Physical Sensors)

Abstract

In this paper, we propose a novel 2D-to-3D video conversion method for 3D entertainment applications. 3D entertainment is getting more and more popular and can be found in many contexts, such as TV and home gaming equipment. 3D image sensors are a new method to produce stereoscopic video content conveniently and at a low cost, and can thus meet the urgent demand for 3D videos in the 3D entertaiment market. Generally, 2D image sensor and 2D-to-3D conversion chip can compose a 3D image sensor. Our study presents a novel 2D-to-3D video conversion algorithm which can be adopted in a 3D image sensor. In our algorithm, a depth map is generated by combining global depth gradient and local depth refinement for each frame of 2D video input. Global depth gradient is computed according to image type while local depth refinement is related to color information. As input 2D video content consists of a number of video shots, the proposed algorithm reuses the global depth gradient of frames within the same video shot to generate time-coherent depth maps. The experimental results prove that this novel method can adapt to different image types, reduce computational complexity and improve the temporal smoothness of generated 3D video. View Full-Text
Keywords: TV and home gaming equipment; stereoscopic video; 2D-to-3D video conversion; time-coherent depth maps TV and home gaming equipment; stereoscopic video; 2D-to-3D video conversion; time-coherent depth maps
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Yin, S.; Dong, H.; Jiang, G.; Liu, L.; Wei, S. A Novel 2D-to-3D Video Conversion Method Using Time-Coherent Depth Maps. Sensors 2015, 15, 15246-15264.

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