EM, MCMC, and chain flipping for structure from motion with unknown correspondence

DOI10.1023/A:1020245811187zbMath1033.68083OpenAlexW2135238428MaRDI QIDQ1395739

Frank Dellaert, Sebastian Thrun, Steven M. Seitz, Charles E. Thorpe

Publication date: 1 July 2003

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1020245811187

zbMATH Keywords

computer visionMarkov chain Monte Carloexpectation-maximizationstructure from motiondata associationcorrespondence problemefficient sampling

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

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3D scene reconstruction from multiple spherical stereo pairs ⋮ Informed Proposals for Local MCMC in Discrete Spaces ⋮ Correspondence-free structure from motion ⋮ Random partition models and complementary clustering of Anglo-Saxon place-names

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