Monocular depth estimation based on a single image: A literature review | |
Tian, Yuan1,2; Hu, Xiaodong1 | |
2021 | |
会议日期 | 2020-11-13 |
会议地点 | Xi'an, China |
关键词 | Depth estimation depth cues probabilistic graphical models data-driven CNN |
卷号 | 11720 |
DOI | 10.1117/12.2589510 |
英文摘要 | Monocular depth estimation is a very valuable but also very challenging problem. In order to solve this ill-posed problem, traditional approaches apply depth cues such as defocusing, atmospheric scattering and shading to estimate depth information and approaches based on machine learning apply frameworks such as MRF and data-driven learning. With the development of deep learning, the monocular depth estimation approaches based on CNN and other networks have achieved good results and gradually become the mainstream. In this paper, we summarize some typical and representative literature on monocular depth estimation based on a single image in the past two decades and depict our analysis involved in these approaches. In addition, this paper also analyzes and compares the results obtained by some typical approaches, which may provide some guidance for those who are interested in this field. |
产权排序 | 1 |
会议录 | Twelfth International Conference on Graphics and Image Processing, ICGIP 2020 |
会议录出版者 | SPIE |
语种 | 英语 |
ISSN号 | 0277786X;1996756X |
ISBN号 | 9781510642775 |
内容类型 | 会议论文 |
源URL | [http://ir.opt.ac.cn/handle/181661/94431] |
专题 | 西安光学精密机械研究所_光学定向与测量技术研究室 |
作者单位 | 1.Xian Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, China 2.University of Chinese Academy of Sciences, China |
推荐引用方式 GB/T 7714 | Tian, Yuan,Hu, Xiaodong. Monocular depth estimation based on a single image: A literature review[C]. 见:. Xi'an, China. 2020-11-13. |
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