Generating Virtual Images for Multi-view Video

ZHANG Lijun; LI Yue; ZHU Qiuyu; LI Mingqi

doi:10.1049/cje.2017.06.008

Volume 26 Issue 4

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Article Navigation > Chinese Journal of Electronics > 2017 > 26(4): 810-813

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

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

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Generating Virtual Images for Multi-view Video

doi: 10.1049/cje.2017.06.008

1.
New Media Wireless Research Center, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai;
201210, China;
2.
School of Communication and Information Engineering, Shanghai University, Shanghai 201210, China

Funds: This work is supported by the Project of Science and Technology Commission of Shanghai Municipality (No.14511101505).

More Information

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

Abstract

Abstract

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.
- Multi-view video,
- Virtual realistic,
- Computer vision,
- Sterio video,
- Free view television (FTV)

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References(15)

References

ISO/IEC JTC1/SC29/WG11:2013, Use Cases and Requirements on Free-viewpoint Television (FTV).

O. Stankiewicz, “Stereoscopic depth map estimation and coding techniques for multiview video systems”, Ph.D. Thesis, Pozna′n University of Technology, Poland, 2013.

A. Smolic, K. Muller, P. Merkle, et al., “3D video and free viewpoint video-technologies, applications and MPEG standards”, IEEE International Conference on Multimedia and Expo (ICME), pp.2161-2164, July 2006.

S.C. Chan, K.T. Ng, Z.F. Gan, et al., “The plenoptic video”, IEEE Trans on Circuits and Systems for Video Technology, Vol.15, No.12, pp.1650-1659, 2005.

C.L. Zitnick, S.B. Kang, M. Uyttendaele, et al., “High-quality video view interpolation using a layered representation”, Interactive Visual Media Group, Microsoft Research, Redmond, WA.

Y. Liu, Q. Dai and W. Xu, “A wide base line multiple camera system for high performance 3D video and free viewpoint video”, Chinese Journal of Electronics, Vol.18, No.2, pp.275-280, 2009.

C. Xu, Y. Nie, H. Ge, et al., “Novel-view synthesis based interactive video synopsis browsing”, Acta Electronica Sinica, 2015, Vol.43, Issue.11, pp.2263-2270. (in Chinese)

D. Scharstein, and R. Szeliski, “High-accuracy stereo depth maps using structured light”, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Vol.1, pp.195-202, 2003.

D. Scharstein, H. Hirschmüller, Y. Kitajima, et al., “Highresolution stereo datasets with subpixel-accurate ground truth”, 36th German Conference on Pattern Recognition (GCPR), Münster, Germany, September 2014.

Z.Y. Zhang, “A flexible new technique for camera calibration”, IEEE Trans. Pattern Anal. Mach. Intell. (PAMI ), Vol.22, No.11, pp.1330-1334, 2000.

X.Q. Meng and Z.Y. Hub, “A new easy camera calibration technique based on circular points”, Pattern Recognition-PR, Vol.36, No.5, pp.1155-1164, 2003.

Z.J Zhao, Y.C. Liu and Z.Y. Zhang, “Camera calibration with three noncollinear points under special motions”, IEEE Transactions on Image Processing, Vol.17, No.12, pp.2393-2402, 2008.

A. Edward and D. Shreiner, Interactive Computer Graphics: A Top-Down Approach Using OpenGL, 6th Edition, Addison-Wesley, USA, 2011.

G. Bradski and A. Kaebler, Learning OpenCV, Computer Vision with the OpenCV Library, O'Reilly, USA, 2008.

ISO/IEC JTC1/SC29/WG11:2011, 3DV Depth Estimation and View Synthesis Software Package.

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