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Bayesian structure from motion
Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference, no. 1 (1999): 660-665vol.1
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摘要
We formulate structure from motion as a Bayesian inference problem, and use a Markov chain Monte Carlo sampler to sample the posterior on this prob- lem. This results in a method that can identify both small and large tracker errors, and yields reconstructions that are stable in the presence of these errors. Furthermore, the method gives ...更多
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