Abstract
Liquid crystal(LC) lenses are widely applied in three‐dimensional(3D) display, augmented reality/virtual reality (AR/VR) and machine vision system due to the advantages of electrical controllability and high flexibility. However, LC lenticular display technology is limited by the material characteristics of LC materials, because it is difficult to overcome the shortcomings of low resolution and high crosstalk at the same time. In this paper, a phase distribution optimization scheme based on the neural network is proposed, which may realizes the complex phase distribution of LC lens through machine learning and improve the optical properties of lenticular 3D display technology.lujg@sjtu.edu.cn
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
