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Experimental assessment of noise robustness of the forward-additive, symmetric-additive and the inverse-compositional Gauss-Newton algorithm in digital image correlation

Antonio Baldi, Pietro Maria Santucci, Filippo Bertolino

2022Optics and Lasers in Engineering18 citationsDOIOpen Access PDF

Topics & Concepts

Robustness (evolution)Noise (video)AlgorithmInverseDigital image correlationGaussComputer sciencePixelImage noiseOpticsMathematicsPhysicsImage (mathematics)Artificial intelligenceGeometryChemistryQuantum mechanicsGeneBiochemistryOptical measurement and interference techniquesAdvanced Vision and ImagingImage Processing Techniques and Applications
Experimental assessment of noise robustness of the forward-additive, symmetric-additive and the inverse-compositional Gauss-Newton algorithm in digital image correlation | Litcius