Computer Science

Computer Science ›› 2024, Vol. 51 ›› Issue (2): 117-134.doi: 10.11896/jsjkx.230400197

• Computer Graphics & Multimedia • Previous Articles     Next Articles

Unsupervised Learning of Monocular Depth Estimation:A Survey

CAI Jiacheng1, DONG Fangmin1, SUN Shuifa2, TANG Yongheng3   

  1. 1 School of Computer and Information Technology,China Three Gorges University,Yichang,Hubei 443002,China
    2 School of Information Science and Technology,Hangzhou Normal University,Hangzhou 311121,China
    3 School of Economics and Management,China Three Gorges University,Yichang,Hubei 443002,China
  • Received:2023-04-28 Revised:2023-08-11 Online:2024-02-15 Published:2024-02-22
  • About author:CAI Jiacheng,born in 1997,postgra-duate.His main research interests include image processing and deep lear-ning.DONG Fangmin,born in 1965,Ph.Dprofessor,Ph.D supervisor.His main research interests include image proces-sing and intelligent information proces-sing.
  • Supported by:
    National Natural Science Foundation of China(61871258).

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Abstract: 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,non-parametric 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,combination of generated adversarial network and real-time lightweight network,and the typical framework model is introduced and compared.Then,the application of monocular depth estimation based on unsupervised learning in medicine,autonomous driving,agriculture,military and other fields is introduced.Finally,the common data sets used for unsupervised depth estimation are briefly introduced,and the future research direction of monocular depth estimation based on unsupervised learning is proposed,while the prospects of various research directions in this rapidly growing field are also prospected.

Key words: Computer vision, Deep learning, Unsupervised learning, Monocular depth estimation

CLC Number: 

  • TP391
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