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Proceedings Paper

Integration of real-time 3D capture, reconstruction, and light-field display
Author(s): Zhaoxing Zhang; Zheng Geng; Tuotuo Li; Renjing Pei; Yongchun Liu; Xiao Zhang
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Paper Abstract

Effective integration of 3D acquisition, reconstruction (modeling) and display technologies into a seamless systems provides augmented experience of visualizing and analyzing real objects and scenes with realistic 3D sensation. Applications can be found in medical imaging, gaming, virtual or augmented reality and hybrid simulations. Although 3D acquisition, reconstruction, and display technologies have gained significant momentum in recent years, there seems a lack of attention on synergistically combining these components into a “end-to-end” 3D visualization system. We designed, built and tested an integrated 3D visualization system that is able to capture in real-time 3D light-field images, perform 3D reconstruction to build 3D model of the objects, and display the 3D model on a large autostereoscopic screen. In this article, we will present our system architecture and component designs, hardware/software implementations, and experimental results. We will elaborate on our recent progress on sparse camera array light-field 3D acquisition, real-time dense 3D reconstruction, and autostereoscopic multi-view 3D display. A prototype is finally presented with test results to illustrate the effectiveness of our proposed integrated 3D visualization system.

Paper Details

Date Published: 17 March 2015
PDF: 15 pages
Proc. SPIE 9391, Stereoscopic Displays and Applications XXVI, 93910H (17 March 2015); doi: 10.1117/12.2076347
Show Author Affiliations
Zhaoxing Zhang, Institute of Automation (China)
Zheng Geng, Institute of Automation (China)
Tuotuo Li, Institute of Automation (China)
Renjing Pei, Institute of Automation (China)
Yongchun Liu, Nanjing Univ. of Aeronautics and Astronautics (China)
Xiao Zhang, Jiangsu Univ. (China)


Published in SPIE Proceedings Vol. 9391:
Stereoscopic Displays and Applications XXVI
Nicolas S. Holliman; Andrew J. Woods; Gregg E. Favalora; Takashi Kawai, Editor(s)

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