Solving Minimal Surface Problems on Surfaces and Point Clouds

DOI10.1007/978-3-319-18461-6_48zbMath1453.94017OpenAlexW2398051068MaRDI QIDQ3300342

François Lozes, Abderrahim Elmoataz, Daniel Tenbrinck

Publication date: 28 July 2020

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-18461-6_48

zbMATH Keywords

graphsdenoisingsegmentationdiscrete total variationminimal surface problemupwind differencespoint cloud data

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Variational problems concerning minimal surfaces (problems in two independent variables) (58E12)

Related Items (max. 100)

Convex variational methods on graphs for multiclass segmentation of high-dimensional data and point clouds

Cites Work

• Unnamed Item
• Unnamed Item
• Nonlinear total variation based noise removal algorithms
• On total variation minimization and surface evolution using parametric maximum flows
• Nonlocal discrete \(p\)-Laplacian driven image and manifold processing
• Image segmentation with arbitrary noise models by solving minimal surface problems
• An algorithm for mean curvature motion
• A first-order primal-dual algorithm for convex problems with applications to imaging
• Mean curvature, threshold dynamics, and phase field theory on finite graphs
• An Upwind Finite-Difference Method for Total Variation–Based Image Smoothing
• Algorithms for Finding Global Minimizers of Image Segmentation and Denoising Models
• Discrete Calculus
• Discrete Koenigs Nets and Discrete Isothermic Surfaces
• Partial Difference Operators on Weighted Graphs for Image Processing on Surfaces and Point Clouds
• Calculus on Surfaces with General Closest Point Functions
• Variational problems and partial differential equations on implicit surfaces

This page was built for publication: Solving Minimal Surface Problems on Surfaces and Point Clouds