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Real-time view morphing of video streams
Publisher:
  • University of Illinois at Chicago
  • Elect. Eng./Computer Science Dept. P.O. Box 4348 Chicago, IL
  • United States
Order Number:AAI3111257
Pages:
156
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Abstract

This paper describes a real-time virtual camera application based on view morphing. This system takes video input from multiple cameras aimed at the same subject from different viewing angles. After performing real-time pattern matching, the system generates synthetic views for a virtual camera that can pan between the real views. The approach of this paper differs from the more common “depth from stereo” approach for generating virtual views in that it does not attempt to reconstruct the 3D structure of the original scene. Instead it takes two 2D images and directly generates the 2D output image by performing only planar operations. At the heart of the system are algorithms and data structures that support the fast inter-image correlation needed for the real-time view morphing.

Contributors
  • University of Illinois at Chicago
  • University of Illinois at Chicago

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