A Bayesian approach to multi-view 4D modeling

DOI10.1007/s11263-015-0832-yzbMath1398.68581OpenAlexW762390259MaRDI QIDQ1800020

Slobodan Ilic, Chun-Hao Huang, Edmond Boyer, Cedric Cagniart

Publication date: 19 October 2018

Published in: International Journal of Computer Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11263-015-0832-y

zbMATH Keywords

Bayesian networkexpectation-maximizationmulti-view3D human motion trackingdeformable surface trackingmesh registration

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Machine vision and scene understanding (68T45)

Uses Software

• TAUCS
• HumanEva
• SIFT
• SURF
• PRMLT

Cites Work

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• Loose-limbed people: estimating 3D human pose and motion using non-parametric belief propagation
• Maximum likelihood estimation via the ECM algorithm: A general framework
• Mathematics of Surfaces XI
• Computer Vision - ECCV 2004

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