A Distributed Stream Computing Architecture for Dynamic Light-Field Acquisition and Rendering System

  • Wenhui ZhouEmail author
  • Jiaqi Pan
  • Pengfei Li
  • Xuehui Wei
  • Zhen Liu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10092)


The architectures of image acquisition and computation usually play important roles in most computer vision systems, especially in the multi-camera dynamic light-field acquisition and rendering systems for virtual reality. This paper designs a general distributed stream computing architecture to support light-field data stream acquisition and computation. Taking advantage of the distributed computing framework and in-memory high-speed processing engine, this architecture combines stream and batch processing together, which could reduce the computation burden. In order to evaluate the performance of proposed distributed stream computing architecture, we construct a dynamic light-field acquisition and rendering system, and the light-field data are obtained from a 10-meter-diameter and 7-meter-height hemispherical steel-frame dome that is equipped with 20 cameras and 2000 LED lightings. Experiments results show our system can continuously acquire and render light-field data at more than 1 frame per second with limited computational resources.


Distributed architecture Virtual reality Light-field acquisition Rendering Stream computing  



This work is supported in part by the Key Program of Zhejiang Provincial Natural Science Foundation of China (No. LZ14F020003), National High-tech R&D Program of China (863 Program, 2015AA015901), and Zhejiang Provincial Natural Science Foundation of China (No. LQ12F02003). The authors are grateful for the anonymous reviewers who made constructive comments.


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Copyright information

© Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  • Wenhui Zhou
    • 1
    Email author
  • Jiaqi Pan
    • 1
  • Pengfei Li
    • 1
  • Xuehui Wei
    • 1
  • Zhen Liu
    • 1
  1. 1.Hangzhou Dianzi UniversityHangzhouChina

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