Cargando…
A Novel 2D-to-3D Video Conversion Method Using Time-Coherent Depth Maps
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 con...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4541829/ https://www.ncbi.nlm.nih.gov/pubmed/26131674 http://dx.doi.org/10.3390/s150715246 |
_version_ | 1782386442426646528 |
---|---|
author | Yin, Shouyi Dong, Hao Jiang, Guangli Liu, Leibo Wei, Shaojun |
author_facet | Yin, Shouyi Dong, Hao Jiang, Guangli Liu, Leibo Wei, Shaojun |
author_sort | Yin, Shouyi |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4541829 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-45418292015-08-26 A Novel 2D-to-3D Video Conversion Method Using Time-Coherent Depth Maps Yin, Shouyi Dong, Hao Jiang, Guangli Liu, Leibo Wei, Shaojun Sensors (Basel) Article 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. MDPI 2015-06-29 /pmc/articles/PMC4541829/ /pubmed/26131674 http://dx.doi.org/10.3390/s150715246 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yin, Shouyi Dong, Hao Jiang, Guangli Liu, Leibo Wei, Shaojun A Novel 2D-to-3D Video Conversion Method Using Time-Coherent Depth Maps |
title | A Novel 2D-to-3D Video Conversion Method Using Time-Coherent Depth Maps |
title_full | A Novel 2D-to-3D Video Conversion Method Using Time-Coherent Depth Maps |
title_fullStr | A Novel 2D-to-3D Video Conversion Method Using Time-Coherent Depth Maps |
title_full_unstemmed | A Novel 2D-to-3D Video Conversion Method Using Time-Coherent Depth Maps |
title_short | A Novel 2D-to-3D Video Conversion Method Using Time-Coherent Depth Maps |
title_sort | novel 2d-to-3d video conversion method using time-coherent depth maps |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4541829/ https://www.ncbi.nlm.nih.gov/pubmed/26131674 http://dx.doi.org/10.3390/s150715246 |
work_keys_str_mv | AT yinshouyi anovel2dto3dvideoconversionmethodusingtimecoherentdepthmaps AT donghao anovel2dto3dvideoconversionmethodusingtimecoherentdepthmaps AT jiangguangli anovel2dto3dvideoconversionmethodusingtimecoherentdepthmaps AT liuleibo anovel2dto3dvideoconversionmethodusingtimecoherentdepthmaps AT weishaojun anovel2dto3dvideoconversionmethodusingtimecoherentdepthmaps AT yinshouyi novel2dto3dvideoconversionmethodusingtimecoherentdepthmaps AT donghao novel2dto3dvideoconversionmethodusingtimecoherentdepthmaps AT jiangguangli novel2dto3dvideoconversionmethodusingtimecoherentdepthmaps AT liuleibo novel2dto3dvideoconversionmethodusingtimecoherentdepthmaps AT weishaojun novel2dto3dvideoconversionmethodusingtimecoherentdepthmaps |