CSpace  > 中国科学院计算技术研究所期刊论文  > 英文
Depth Maps Restoration for Human Using RealSense
Yin, Jingfang1; Zhu, Dengming1; Shi, Min2; Wang, Zhaoqi1
2019
发表期刊IEEE ACCESS
ISSN2169-3536
卷号7页码:112544-112553
摘要Recently, mobile devices such as iPhone X start to be equipped with depth cameras, and more applications based on captured depth maps are emerging. Among many depth cameras on the market, Intel RealSense has the ability to capture depth information and is expected to be widely used in mobile devices and laptops. However, depth maps captured by RealSense always suffer from severe holes and noises, which make it hard to be used in real applications. In this paper, we propose a method to fill holes and remove noises in depth maps captured by RealSense. This method includes two parts: human depth prediction and human depth optimization. Firstly, we propose a two-stage stacked hourglass network to predict human part-segmentation and human depth simultaneously based on RGB image. Then we use GradientFMM method to optimize captured depth maps with the guidance of the above human depth prediction. The RGB image and depth maps mentioned above are captured by the same RealSense device. Furthermore, in order to show the effectiveness of the proposed method, we register and measure human 3D models based on optimized depth maps. The experimental results show that our method can restore depth maps for human using RealSense effectively.
关键词RGBD camera human depth map restoration two-stage stacked hourglass network register and measure human 3D models
DOI10.1109/ACCESS.2019.2934863
收录类别SCI
语种英语
资助项目National Science and Technology Major Project[2017ZX05019005] ; National Natural Science Foundation of China[61532002] ; Taicang Technology Project[TC2017DYDS07]
WOS研究方向Computer Science ; Engineering ; Telecommunications
WOS类目Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号WOS:000484306100001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
被引频次:4[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/4699
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Zhu, Dengming
作者单位1.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
2.North China Elect Power Univ, Sch Control & Comp Engn, Beijing 102206, Peoples R China
推荐引用方式
GB/T 7714
Yin, Jingfang,Zhu, Dengming,Shi, Min,et al. Depth Maps Restoration for Human Using RealSense[J]. IEEE ACCESS,2019,7:112544-112553.
APA Yin, Jingfang,Zhu, Dengming,Shi, Min,&Wang, Zhaoqi.(2019).Depth Maps Restoration for Human Using RealSense.IEEE ACCESS,7,112544-112553.
MLA Yin, Jingfang,et al."Depth Maps Restoration for Human Using RealSense".IEEE ACCESS 7(2019):112544-112553.
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