Progress on Data Acquisition Methods for Holographic 3D Display

被引:1
|
作者
Tong Zhuojian [1 ]
Gui Jinbin [1 ]
Hu Lei [1 ]
Hu Xianfei [1 ]
机构
[1] Kunming Univ Sci & Technol, Fac Sci, Kunming 650500, Yunnan, Peoples R China
关键词
image processing; holographic display; three-dimensional reconstruction; deep learning; MULTIVIEW STEREO NETWORK; NEURAL-NETWORK; GRAPH-CUTS; RESOLUTION; ACCURATE; MVSNET;
D O I
10.3788/LOP232113
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Holographic display technology, which is considered to be the most ideal three-dimensional (3D) display technology, can accurately recover 3D image containing all the information of the object and provide the user a natural and real visual experience. Accurate acquisition of 3D real-scene data is important for realizing high-quality holographic 3D display and application. This paper compares various methods of 3D scene data reconstruction, introduces the basic principles of active, passive, and deep-learning-based reconstruction methods, analyzes the characteristics, advantages, and disadvantages of various methods, summarizes the basic methods of 3D reconstruction based on deep learning, and discusses the application prospect of combining them with holographic display technology. This article provides a reference for the further research on holographic 3D displays.
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页数:11
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