Belief Propagation for Panorama Generation

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ConferenceThird International Symposium on 3D Data Processing Visualization and Transmission (EDPVT 2006), June 13-16, 2006., Chapel Hill, North Carolina, USA
AbstractWe present an algorithm for generating panoramic images of complex scenes from a multi-sensor camera. We further present a programmable graphics hardware implementation to process the large data sets more quickly. Because the sensors do not share the same center of projection, nearby objects may not be properly aligned, creating a ghosting or echoing effect in the generated panorama, unless correct depth information is taken into account. Taking a cue from the similar problem of dense stereo, we approximate our scene with a Markov random field and use belief propagation to estimate the maximum a posteriori panoramic image for that scene.
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AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number48722
NPARC number5765151
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Record identifierf43cd81a-e108-4e93-9554-05e16376c22b
Record created2009-03-29
Record modified2016-05-09
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