Maximizing the predictivity of smooth deformable image warps through cross-validation

DOI10.1007/s10851-007-0062-1zbMath1446.68157OpenAlexW2042918306MaRDI QIDQ2319509

Adrien Bartoli

Publication date: 19 August 2019

Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10851-007-0062-1

zbMATH Keywords

cross-validationlandmarksimage registrationwarps

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10) Machine vision and scene understanding (68T45)

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Cites Work

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• A completely automatic french curve: fitting spline functions by cross validation
• The Relationship between Variable Selection and Data Agumentation and a Method for Prediction
• Computer Vision - ECCV 2004

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