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Integral imaging-based tabletop light field 3D display with large viewing angle 被引量:2
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作者 Yan Xing Xing-Yu Lin +9 位作者 Lin-Bo Zhang Yun-Peng Xia Han-Le Zhang Hong-Yu Cui Shuang Li Tong-Yu Wang Hui Ren Di Wang Huan Deng Qiong-Hua Wang 《Opto-Electronic Advances》 SCIE EI CAS CSCD 2023年第6期19-30,共12页
Light field 3D display technology is considered a revolutionary technology to address the critical visual fatigue issues in the existing 3D displays.Tabletop light field 3D display provides a brand-new display form th... Light field 3D display technology is considered a revolutionary technology to address the critical visual fatigue issues in the existing 3D displays.Tabletop light field 3D display provides a brand-new display form that satisfies multi-user shared viewing and collaborative works,and it is poised to become a potential alternative to the traditional wall and portable display forms.However,a large radial viewing angle and correct radial perspective and parallax are still out of reach for most current tabletop light field 3D displays due to the limited amount of spatial information.To address the viewing angle and perspective issues,a novel integral imaging-based tabletop light field 3D display with a simple flat-panel structure is proposed and developed by applying a compound lens array,two spliced 8K liquid crystal display panels,and a light shaping diffuser screen.The compound lens array is designed to be composed of multiple three-piece compound lens units by employing a reverse design scheme,which greatly extends the radial viewing angle in the case of a limited amount of spatial information and balances other important 3D display parameters.The proposed display has a radial viewing angle of 68.7°in a large display size of 43.5 inches,which is larger than the conventional tabletop light field 3D displays.The radial perspective and parallax are correct,and high-resolution 3D images can be reproduced in large radial viewing positions.We envision that this proposed display opens up possibility for redefining the display forms of consumer electronics. 展开更多
关键词 tabletop light field 3d display integral imaging compound lens array radial viewing angle
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360° light field 3D display system based on a triplet lenses array and holographic functional screen 被引量:5
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作者 高鑫 桑新柱 +3 位作者 于迅博 张婉璐 颜玢玢 余重秀 《Chinese Optics Letters》 SCIE EI CAS CSCD 2017年第12期48-52,共5页
A 360° light field 3D display system is presented, which consists of a liquid crystal display, a novel triplet lenses array, and a holographic functional screen (HFS). The mapping relationship among pixels, 3D ... A 360° light field 3D display system is presented, which consists of a liquid crystal display, a novel triplet lenses array, and a holographic functional screen (HFS). The mapping relationship among pixels, 3D objects, and view- ing positions are investigated. The aberration analysis of the single lens is carried out both in the simulation and the experiment, which shows that it cannot provide an excellent 3D image to the viewers. In order to suppress the aberrations, "the primary aberration theory" and "the damped least-squares method" are used for optical analysis and lens design. A 3D image with aberration correction can be viewed around the proposed display system. 展开更多
关键词 light field 3d display system based on a triplet lenses array and holographic functional screen
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Phase unwrapping based on deep learning in light field fringe projection 3D measurement
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作者 ZHU Xinjun ZHAO Haichuan +3 位作者 YUAN Mengkai ZHANG Zhizhi WANG Hongyi SONG Limei 《Optoelectronics Letters》 EI 2023年第9期556-562,共7页
Phase unwrapping is one of the key roles in fringe projection three-dimensional(3D)measurement technology.We propose a new method to achieve phase unwrapping in camera array light filed fringe projection 3D measuremen... Phase unwrapping is one of the key roles in fringe projection three-dimensional(3D)measurement technology.We propose a new method to achieve phase unwrapping in camera array light filed fringe projection 3D measurement based on deep learning.A multi-stream convolutional neural network(CNN)is proposed to learn the mapping relationship between camera array light filed wrapped phases and fringe orders of the expected central view,and is used to predict the fringe order to achieve the phase unwrapping.Experiments are performed on the light field fringe projection data generated by the simulated camera array fringe projection measurement system in Blender and by the experimental 3×3 camera array light field fringe projection system.The performance of the proposed network with light field wrapped phases using multiple directions as network input data is studied,and the advantages of phase unwrapping based on deep learning in light filed fringe projection are demonstrated. 展开更多
关键词 Phase unwrapping based on deep learning in light field fringe projection 3d measurement
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