Layered probability maps: basic framework and prototype system

  • Authors:
  • Yutaka Kunita;Masahiro Ueno;Keiji Tanaka

  • Affiliations:
  • NTT Coporation, Tokyo, Japan;NTT Coporation, Tokyo, Japan;NTT Communications Corporation, Tokyo, Japan

  • Venue:
  • Proceedings of the ACM symposium on Virtual reality software and technology
  • Year:
  • 2006

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Abstract

We propose an image-based rendering method called"layered prob-ability mapping." The algorithm requires modest computer power, but produces high-quality output images even from textureless or noisy input images. Thus, real-time applications such as immersive teleconferencing and live broadcasting are promising areas of use. The key idea is layered probability map (LPM) representation using a set of two-dimensional probabilistic functions. This accommodates ambiguities regarding object depth. To test the feasibility of this method, we developed a prototype system with nine synchronized cameras and a thirteen-PC cluster. By calculating the algorithm in parallel, stable 5-15fps image generation has been achieved without any off-line procedures between the image capture and display.