Registration of 3D points using geometric algebra and tensor voting

DOI10.1007/s11263-007-0038-zzbMath1477.68415OpenAlexW2137842535MaRDI QIDQ942829

Leo Reyes, Eduardo Bayro, Gérard Medioni

Publication date: 5 September 2008

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

Full work available at URL: https://doi.org/10.1007/s11263-007-0038-z

zbMATH Keywords

computer visiongeometric algebra3D motion estimationtensor voting

Mathematics Subject Classification ID

Computer graphics; computational geometry (digital and algorithmic aspects) (68U05) Machine vision and scene understanding (68T45) Applications of Clifford algebras to physics, etc. (15A67)

Related Items (4)

Model-based multiple rigid object detection and registration in unstructured range data ⋮ Differential Methods for Multi-dimensional Visual Data Analysis ⋮ Nonstructured light-based sensing for 3D reconstruction ⋮ Registration of 2D points using geometric algebra and tensor voting

Uses Software

• CLICAL

Cites Work

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• Clifford algebra to geometric calculus. A unified language for mathematics and physics
• A new point matching algorithm for non-rigid registration

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