The Design and Construction of a Movable Image-Based Rendering System and Its Application to Multiview Conferencing

  • Authors:

  • S. C. Chan;Z. Y. Zhu;K. T. Ng;C. Wang;S. Zhang;Z. G. Zhang;Zhongfu Ye;H. Y. Shum

  • Affiliations:

  • Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China;Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China;Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China;Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China;Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China;Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China;University of Science and Technology of China, Hefei, People's Republic of China;Microsoft Corporation, Redmond, USA

  • Venue:
  • Journal of Signal Processing Systems
  • Year:
  • 2012

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Abstract

Image-based rendering (IBR) is an promising technology for rendering photo-realistic views of scenes from a collection of densely sampled images or videos. It provides a framework for developing revolutionary virtual reality and immersive viewing systems. While there has been considerable progress recently in the capturing, storage and transmission of image-based representations, most multiple camera systems are designed to be stationary and hence their ability to cope with moving objects and dynamic environment is somewhat limited. This paper studies the design and construction of a movable image-based rendering system based on a class of dynamic representations called plenoptic videos, its associated video processing algorithms and an application to multiview audio-visual conferencing. It is constructed by mounting a linear array of 8 video cameras on an electrically controllable wheel chair and its motion is controllable manually or remotely through wireless LAN by means of additional hardware circuitry. We also developed a real-time object tracking algorithm and utilize the motion information computed to adjust continuously the azimuth or rotation angle of the movable IBR system in order to cope with a given moving object in a large environment. Due to imperfection in tracking and mechanical vibration encountered in movable systems, the videos may appear very shaky and a new video stabilization technique is proposed to overcome this problem. The usefulness of the system is illustrated by means of a multiview conferencing application using a multiview TV display. Through this pilot study, we hope to disseminate useful experience for the design and construction of movable IBR systems with improved viewing freedom and ability to cope with moving object in a large environment.