The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jun. 23, 2026
Filed:
Aug. 27, 2020
Nanjing University of Science and Technology, Nanjing, CN;
Shijie Feng, Nanjing, CN;
Qian Chen, Nanjing, CN;
Chao Zuo, Nanjing, CN;
Yuzhen Zhang, Nanjing, CN;
Jiasong Sun, Nanjing, CN;
Yan Hu, Nanjing, CN;
Wei Yin, Nanjing, CN;
Jiaming Qian, Nanjing, CN;
NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY, Nanjing, CN;
Abstract
The invention discloses a single-frame fringe pattern analysis method based on multi-scale generative adversarial network. A multi-scale generative adversarial neural network model is constructed and a comprehensive loss function is applied. Next, training data are collected to train the multi-scale generative adversarial network. During the prediction, a fringe pattern is fed into the trained multi-scale network where the generator outputs the sine term, cosine term, and the modulation image of the input pattern. Finally, the arctangent function is applied to compute the phase. When the network is trained, the parameters of the network do not need to manually tune during the calculation. Since the input of the neural network is only a single fringe pattern, the invention provides an efficient and high-precision phase calculation method for moving objects.