ZHANG Lijun, LI Yue, ZHU Qiuyu, et al., “Generating Virtual Images for Multi-view Video,” Chinese Journal of Electronics, vol. 26, no. 4, pp. 810-813, 2017, doi: 10.1049/cje.2017.06.008
Citation: ZHANG Lijun, LI Yue, ZHU Qiuyu, et al., “Generating Virtual Images for Multi-view Video,” Chinese Journal of Electronics, vol. 26, no. 4, pp. 810-813, 2017, doi: 10.1049/cje.2017.06.008

Generating Virtual Images for Multi-view Video

doi: 10.1049/cje.2017.06.008
Funds:  This work is supported by the Project of Science and Technology Commission of Shanghai Municipality (No.14511101505).
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  • Corresponding author: LI Mingqi (corresponding author) received the Ph.D. degree in communication and information systems from Shanghai Jiaotong University in 2004 and is currently a professor and the deputy director of Research Center of Wireless Technologies for New Media, Shanghai Advanced Research Institute, Chinese Academy of Sciences. (Email: limq@sari.ac.cn)
  • Received Date: 2015-03-25
  • Rev Recd Date: 2016-08-14
  • Publish Date: 2017-07-10
  • As for the research in the Free view television (FTV) and stereo video areas, the accurate multi-view video capture is a expensive precondition. We present a virtual multi-view video capture system based on OpenGL programming. By using this system, a researcher may create arbitrary 3D scenes, and capture images with depth maps by setting up multiple virtual cameras, whose intrinsic and extrinsic parameters can be imported from or exported to the outside.We conducted several experiments within it to perform camera calibration, depth estimation and view-points synthesis. The system has been demonstrated to be a powerful tool for evaluation of stereo video algorithms.
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