Depth Maps Restoration for Human Using RealSense
文献类型：期刊论文
| 作者 | Yin, Jingfang2; Zhu, Dengming2; Shi, Min1; Wang, Zhaoqi2 |
| 刊名 | IEEE ACCESS
 |
| 出版日期 | 2019 |
| 卷号 | 7页码:112544-112553 |
| 关键词 | RGBD camera human depth map restoration two-stage stacked hourglass network register and measure human 3D models |
| ISSN号 | 2169-3536 |
| DOI | 10.1109/ACCESS.2019.2934863 |
| 英文摘要 | 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. |
| 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 |
| 语种 | 英语 |
| WOS记录号 | WOS:000484306100001 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/4698]  |
| 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.North China Elect Power Univ, Sch Control & Comp Engn, Beijing 102206, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, 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. |
入库方式： OAI收割
来源：计算技术研究所
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