Auxiliary variables and two-step iterative algorithms in computer vision problems.

DOI10.1007/BF00127375zbMath1490.68246OpenAlexW1969499601MaRDI QIDQ960513

Laurent D. Cohen

Publication date: 21 December 2008

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

Full work available at URL: https://doi.org/10.1007/bf00127375

zbMATH Keywords

energy minimizationfeature extractionspline functionspattern matchingdistance mapdeformable models and templatesshape extraction and regularizationsurface and curve reconstruction

Mathematics Subject Classification ID

Computer-aided design (modeling of curves and surfaces) (65D17) Machine vision and scene understanding (68T45)

Related Items (2)

Two-dimensional compact variational mode decomposition ⋮ Generalized solution of linear systems and image restoration

Cites Work

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• A regularized solution to edge detection
• Constraints on deformable models: Recovering 3D shape and nonrigid motion
• Interpolation with interval and point tension controls using cubic weighted v -splines
• Using deformable surfaces to segment 3-D images and infer differential structures
• On active contour models and balloons
• Exponential and polynomial methods for applying tension to an interpolating spline curve
• The computation of visible-surface representations
• Robust Statistics

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