Systematic errors in digital image correlation due to undermatched subset shape functions

2002/09/01 by Hubert W. Schreier, Michael A. Sutton · 7 citations
Computer Science · Engineering · Mathematics · #Active shape model #Affine transformation #Algorithm #Artificial intelligence #Computer science #Digital image #Digital image correlation #Displacement (psychology) #Displacement field #Finite element method #Function (biology) #Geometry #Image (mathematics) #Image Processing Techniques and Applications #Image processing #Mathematical analysis #Mathematics #Optical measurement and interference techniques #Optics #Shape analysis (program analysis) #Static analysis #Structural Health Monitoring Techniques #Translation (biology)

paper · doi:10.1007/bf02410987

crossref issued 2002/09/01 · crossref published 2002/09/01 · crossref published-print 2002/09/01 · openalex publication_date 2002/09/01 · crossref created 2006/04/20 · crossref deposited 2019/05/16 · openalex created_date 2025/10/10 · crossref indexed 2026/08/04 · openalex updated_date 2026/08/04

Citations

• Comments on the Savitzky-Golay convolution method for least-squares-fit smoothing and differentiation of digital data
• Smoothing and Differentiation of Data by Simplified Least Squares Procedures.

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• Quasi-Gauss Point Digital Image/Volume Correlation: a Simple Approach for Reducing Systematic Errors Due to Undermatched Shape Functions
• Assessment of Digital Image Correlation Measurement Accuracy in the Ultimate Error Regime: Main Results of a Collaborative Benchmark
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