Unsupervised Learning of Monocular Depth Estimation:A Survey

As the key point of 3D reconstruction, automatic driving and visual SLAM,depth estimation has always been a hot research direction in the field of computer vision, among which, monocular depth estimation technology based on unsupervised learning has been widely concerned by academia and industry bec...

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Bibliographic Details
Published inJi suan ji ke xue Vol. 51; no. 2; p. 117
Main Authors Cai, Jiacheng, Dong, Fangmin, Sun, Shuifa, Tang, Yongheng
Format Journal Article
LanguageChinese
Published Chongqing Guojia Kexue Jishu Bu 01.01.2024
Subjects
Computational efficiency
Computer vision
Image reconstruction
Semi-supervised learning
Unsupervised learning
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Summary:As the key point of 3D reconstruction, automatic driving and visual SLAM,depth estimation has always been a hot research direction in the field of computer vision, among which, monocular depth estimation technology based on unsupervised learning has been widely concerned by academia and industry because of its advantages of convenient deployment, low computational cost and so on.Firstly, this paper reviews the basic knowledge and research actuality of depth estimation and briefly introduces the advantages and disadvantages of depth estimation based on parametric learning, nonparametric learning, supervised learning, semi-supervised learning and unsupervised learning.Secondly, the research progress of monocular depth estimation based on unsupervised learning is summarized comprehensively.The monocular depth estimation based on unsupervised learning is summarized according to five categories: combination of interpretable mask, combination of visual odometer, combination of prior auxi-liary information, combinat
ISSN:1002-137X