Combined method of face super-resolution and rotation

Chenghua Shen; Wenjing Zhou; Hongbo Zhang; Yingjie Yu; Chenxi Liu

doi:10.1117/12.2667506

27 January 2023 Combined method of face super-resolution and rotation

Chenghua Shen, Wenjing Zhou, Hongbo Zhang, Yingjie Yu, Chenxi Liu

Proceedings Volume 12550, International Conference on Optical and Photonic Engineering (icOPEN 2022); 125501J (2023) https://doi.org/10.1117/12.2667506
Event: International Conference on Optical and Photonic Engineering (icOPEN 2022), 2022, ONLINE, China

Abstract

Processing of face images is an important branch of machine vision. In real scenarios, the quality of the acquired images often does not reach the ideal condition therefore producing wrong results. While face super-resolution and rotation are two different ways to enhance the quality of face images, these two methods have always existed independently. The super resolution of face is to improve the image quality and get high resolution image from low resolution face image, and the rotation of face is to get the image under different view of the target and enrich the target person information. Both techniques have different approaches, but both are designed to improve the image quality for easier processing such as classification, detection and recognition. Therefore, can we combine the two methods, convert an image from a low-resolution image to a high-resolution image, and then use face rotation to obtain images of other views of the target face. We can obtain a higher quality image compared with the two independent methods. In this paper, we use a supervised learning method for face super-resolution and a self-supervised face rotation method for combining experiments, and the results show the reliability of combining the two methods.

Citation Download Citation

Chenghua Shen, Wenjing Zhou, Hongbo Zhang, Yingjie Yu, and Chenxi Liu "Combined method of face super-resolution and rotation", Proc. SPIE 12550, International Conference on Optical and Photonic Engineering (icOPEN 2022), 125501J (27 January 2023); https://doi.org/10.1117/12.2667506

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