Binomial Convolutions and Derivatives Estimation from Noisy Discretizations
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Publication:5458905
DOI10.1007/978-3-540-79126-3_33zbMath1138.68603OpenAlexW1529509773MaRDI QIDQ5458905
Rémy Malgouyres, Florent Brunet, Sébastien Fourey
Publication date: 24 April 2008
Published in: Discrete Geometry for Computer Imagery (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-540-79126-3_33
Computational aspects related to convexity (52B55) Computing methodologies for image processing (68U10) Linear programming (90C05) Algorithms for approximation of functions (65D15)
Related Items (9)
Sparse convolution-based digital derivatives, fast estimation for noisy signals and approximation results ⋮ Analysis of noisy digital contours with adaptive tangential cover ⋮ Convergence of binomial-based derivative estimation for \(C^{2}\) noisy discretized curves ⋮ Robust and Convergent Curvature and Normal Estimators with Digital Integral Invariants ⋮ Accurate Curvature Estimation along Digital Contours with Maximal Digital Circular Arcs ⋮ Multigrid-convergence of digital curvature estimators ⋮ Normals and Curvature Estimation for Digital Surfaces Based on Convolutions ⋮ Comparison and improvement of tangent estimators on digital curves ⋮ Convergence of Binomial-Based Derivative Estimation for C 2 Noisy Discretized Curves
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.
- Discrete Geometry for Computer Imagery
- Probability Inequalities for Sums of Bounded Random Variables
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