Curvature in image and shape processing
DOI10.5802/acirm.62zbMath1477.94008OpenAlexW2327972206MaRDI QIDQ4682463
Aaron Wetzler, Anastasia Dubrovina, Yonathan Aflalo, Ron Kimmel
Publication date: 18 September 2018
Published in: Actes des rencontres du CIRM (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.5802/acirm.62
Computing methodologies for image processing (68U10) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Geometric measure and integration theory, integral and normal currents in optimization (49Q15) Surfaces in Euclidean and related spaces (53A05)
Cites Work
- Nonlinear total variation based noise removal algorithms
- A Gromov-Hausdorff framework with diffusion geometry for topologically-robust non-rigid shape matching
- Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations
- Axioms and fundamental equations of image processing
- Geodesic active contours
- Diffusion maps
- A theoretical and computational framework for isometry invariant recognition of point cloud data
- Scale Invariant Geometry for Nonrigid Shapes
- Shape distributions
- A general framework for low level vision
- Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
- Spectral multidimensional scaling
- Generalized multidimensional scaling: A framework for isometry-invariant partial surface matching
- Efficient Algorithms for k-Disjoint Paths Problems on DAGs
- Scale Space and PDE Methods in Computer Vision
- Diffusions and confusions in signal and image processing
This page was built for publication: Curvature in image and shape processing