Rationalizing efficient compositional image alignment. The constant Jacobian Gauss-Newton optimization algorithm

DOI10.1007/S11263-014-0769-6zbMath1398.68589OpenAlexW206822807MaRDI QIDQ1799954

Enrique Muñoz, Luis Baumela, Pablo Márquez-Neila

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/s11263-014-0769-6

zbMATH Keywords

trackingimage registrationefficient compositional image alignmentefficient Gauss-Newton optimization

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) Computing methodologies for image processing (68U10) Machine vision and scene understanding (68T45)

Cites Work

• Unnamed Item
• Metric learning for image alignment
• Lucas-Kanade 20 years on: a unifying framework
• High Performance Model-Based Object Detection and Tracking
• Bidirectional Composition on Lie Groups for Gradient-Based Image Alignment

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