Volume 46 Issue 11
Dec.  2017
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Zhao Min, Xiong Zhaolong, Xing Yan, Li Xiaowei, Wang Qionghua. Real-time integral imaging pickup system based on binocular stereo camera[J]. Infrared and Laser Engineering, 2017, 46(11): 1103007-1103007(5). doi: 10.3788/IRLA201746.1103007
Citation: Zhao Min, Xiong Zhaolong, Xing Yan, Li Xiaowei, Wang Qionghua. Real-time integral imaging pickup system based on binocular stereo camera[J]. Infrared and Laser Engineering, 2017, 46(11): 1103007-1103007(5). doi: 10.3788/IRLA201746.1103007

Real-time integral imaging pickup system based on binocular stereo camera

doi: 10.3788/IRLA201746.1103007
  • Received Date: 2017-09-27
  • Rev Recd Date: 2017-10-17
  • Publish Date: 2017-11-25
  • A real time integral imaging pickup system was proposed using a binocular stereo camera. In the proposed system, the conventional camera array was replaced by the binocular stereo camera for three-dimensional (3D) scene pickup, which made the system simpler. In the system, left view and right view images were first captured by the binocular stereo camera, and the high-resolution depth map was calculated in the graphics processing unit. Then, the depth map and color texture image were used to generate the parallax images of new perspectives in parallax, and pixel mapping algorithm was adopted to obtain the high-resolution elemental image array for the real-time integral imaging display. In the experiment, the resolution of the calculated depth map was 4.25 times more than the depth map acquired by Microsoft Kinect2, the real-time pickup and display for 3D scene can be achieved in case the resolution of elemental image array was 1 920 pixel1 080 pixel, and sub-images was 99. The experiment results demonstrate the effectiveness of the proposed system.
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Real-time integral imaging pickup system based on binocular stereo camera

doi: 10.3788/IRLA201746.1103007
  • 1. College of Electronics and Information Engineering,Sichuan University,Chengdu 610065,China

Abstract: A real time integral imaging pickup system was proposed using a binocular stereo camera. In the proposed system, the conventional camera array was replaced by the binocular stereo camera for three-dimensional (3D) scene pickup, which made the system simpler. In the system, left view and right view images were first captured by the binocular stereo camera, and the high-resolution depth map was calculated in the graphics processing unit. Then, the depth map and color texture image were used to generate the parallax images of new perspectives in parallax, and pixel mapping algorithm was adopted to obtain the high-resolution elemental image array for the real-time integral imaging display. In the experiment, the resolution of the calculated depth map was 4.25 times more than the depth map acquired by Microsoft Kinect2, the real-time pickup and display for 3D scene can be achieved in case the resolution of elemental image array was 1 920 pixel1 080 pixel, and sub-images was 99. The experiment results demonstrate the effectiveness of the proposed system.

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