Computer Science Department
School of Computer Science, Carnegie Mellon University
Appearance-Based Virtual View Generation of
Temporally-Varying Events from Multi-Camera Images
in the 3D Room
Hideo Saito, Shigeyuki Baba, Makoto Kimura,
Sundar Vedula, Takeo Kanade
April 1999
CMU-CS-99-127.ps
CMU-CS-99-127.pdf
In this paper, we present an "appearance-based" virtual view
generation method for temporally-varying events taken by multiple
cameras of the "3D Room", developed by our group. With this
method, we can generate images from any virtual view point between
two selected real views. The virtual appearance view generation
method is based on simple interpolation between two selected views.
The correspondence between the views are automatically generated from the
multiple images by use of the volumetric model shape reconstruction
framework. Since the correspondences are obtained by the recovered
volumetric model, even occluded regions in the views can be correctly
interpolated in the virtual view images. The virtual view image
sequences are presented for demonstrating the performance of the
virtual view image generation in the 3D Room.
20 pages
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