A survey on stereo matching and semantic matching

Huaiyuan Xu; Siyu Ren; Shiyuan Yang; Yi Wang; Huaiyu Cai; Xiaodong Chen

doi:10.1117/12.2616439

8 July 2022 A survey on stereo matching and semantic matching

Huaiyuan Xu, Siyu Ren, Shiyuan Yang, Yi Wang, Huaiyu Cai, Xiaodong Chen

Proceedings Volume 12282, 2021 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems; 122820I (2022) https://doi.org/10.1117/12.2616439
Event: 2021 International Conference on Optical Instruments and Technology, 2022, Online Only

Abstract

This paper reviews the development of stereo matching and semantic matching in the field of image correspondence. The existed matching methods of these two kinds of matching problems are discussed and summarized. Since 2014, technologies based on data-driven and deep learning have played an important role in these two types of matching problems, which accelerates the development of image correspondence technology. This paper discusses stereo matching from three perspectives: local stereo matching, global stereo matching, and stereo matching based on neural networks. Besides, this paper divides semantic matching methods into two categories: parametric semantic matching and nonparametric semantic matching. By reviewing and tracking the research development of these two matching problems, this paper provides good navigation for people who are new to the image correspondence field.

Citation Download Citation

Huaiyuan Xu, Siyu Ren, Shiyuan Yang, Yi Wang, Huaiyu Cai, and Xiaodong Chen "A survey on stereo matching and semantic matching", Proc. SPIE 12282, 2021 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems, 122820I (8 July 2022); https://doi.org/10.1117/12.2616439

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KEYWORDS

Neural networks

Image fusion

Computer vision technology

Machine vision

Visualization

Image enhancement

Information visualization

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