Convex Cardinal Shape Composition
DOI10.1137/151003088zbMath1352.68260arXiv1501.01347OpenAlexW2963604310MaRDI QIDQ2797765
Alireza Aghasi, Justin Romberg
Publication date: 31 March 2016
Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1501.01347
image segmentationMumford-Shah functionaloptical character recognitioncompressive sensingsparse recoverygeometric packingChan-Vese modelshape-based modeling
Convex programming (90C25) Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10) Computer graphics; computational geometry (digital and algorithmic aspects) (68U05) Variational problems in a geometric measure-theoretic setting (49Q20) Packing and covering in (2) dimensions (aspects of discrete geometry) (52C15) Machine vision and scene understanding (68T45)
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- A mathematical introduction to compressive sensing
- Simple bounds for recovering low-complexity models
- Optimal packing and covering in the plane are NP-complete
- Packing problems
- Uniqueness of solution in linear programming
- On the projected subgradient method for nonsmooth convex optimization in a Hilbert space
- A review of the application of meta-heuristic algorithms to 2D strip packing problems
- Using prior shapes in geometric active contours in a variational framework
- Completely convex formulation of the Chan-Vese image segmentation model
- A multiphase dynamic labeling model for variational recognition-driven image segmentation
- Sparse Shape Reconstruction
- Parametric Level Set Methods for Inverse Problems
- Optimal approximations by piecewise smooth functions and associated variational problems
- Algorithms for Finding Global Minimizers of Image Segmentation and Denoising Models
- Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
- Active contours without edges
- Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification
- Geometric Level Set Methods in Imaging, Vision, and Graphics
- A Convex Approach to Minimal Partitions
- A geometric approach to joint inversion with applications to contaminant source zone characterization
- Level set methods: An overview and some recent results