Convergence of binomial-based derivative estimation for \(C^{2}\) noisy discretized curves

DOI10.1016/j.tcs.2010.12.035zbMath1234.68449OpenAlexW2054322793MaRDI QIDQ638560

Henri-Alex Esbelin, Colin Cartade, Rémy Malgouyres

Publication date: 12 September 2011

Published in: Theoretical Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.tcs.2010.12.035

zbMATH Keywords

multigrid convergencederivative estimationdigital curves

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18)

Related Items (4)

Sparse convolution-based digital derivatives, fast estimation for noisy signals and approximation results ⋮ Properties of Gauss digitized shapes and digital surface integration ⋮ Robust and Convergent Curvature and Normal Estimators with Digital Integral Invariants ⋮ Multigrid-convergence of digital curvature estimators

Cites Work

• On the convergence of derivatives of Bernstein approximation
• Scale space and PDE methods in computer vision. 5th international conference, Scale-Space 2005, Hofgeismar, Germany, April 7--9, 2005. Proceedings.
• CURVATURE BASED CORNER DETECTOR FOR DISCRETE, NOISY AND MULTI-SCALE CONTOURS
• Discrete Geometry for Computer Imagery
• Probability Inequalities for Sums of Bounded Random Variables
• Normals and Curvature Estimation for Digital Surfaces Based on Convolutions
• Binomial Convolutions and Derivatives Estimation from Noisy Discretizations
• Unnamed Item

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