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Recovering one Missing Element at a Time in SFM under Occlusion
Abstract:
When there is occlusion, the measurement matrix collecting trajectories of features points in SFM would be incomplete. In this paper, we have presented a method to recover missing elements in an incomplete measurement matrix one by one. We also discussed the concept of Relevance between a target missing element and its relevant known elements, and a measurement matrix transformation process, utilizing in determining the order of the recovery of missing elements. Experiments on both synthetic and real data showed that our method work efficiently.
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664-673
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Online since:
June 2010
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© 2010 Trans Tech Publications Ltd. All Rights Reserved
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