Constraints on deformable models: recovering 3D shape and nongrid motion
Artificial Intelligence
Image selective smoothing and edge detection by nonlinear diffusion
SIAM Journal on Numerical Analysis
On the Gibbs Phenomenon and Its Resolution
SIAM Review
Picture Segmentation by a Tree Traversal Algorithm
Journal of the ACM (JACM)
Adaptive Split-and-Merge Segmentation Based on Piecewise Least-Square Approximation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Lower Bounds for Simplicial Covers and Triangulations of Cubes
Discrete & Computational Geometry
Polynomial Fitting for Edge Detection in Irregularly Sampled Signals and Images
SIAM Journal on Numerical Analysis
Handbook of Biomedical Image Analysis: Volume 3: Registration Models (International Topics in Biomedical Engineering)
Extracting Grain Boundaries and Macroscopic Deformations from Images on Atomic Scale
Journal of Scientific Computing
Fast construction of constant bound functions for sparse polynomials
Journal of Global Optimization
Discontinuity detection in multivariate space for stochastic simulations
Journal of Computational Physics
Generating segmented meshes from textured color images
Journal of Visual Communication and Image Representation
Journal of Scientific Computing
3D Edge Detection by Selection of Level Surface Patches
Journal of Mathematical Imaging and Vision
Fundamentals of Three-dimensional Digital Image Processing
Fundamentals of Three-dimensional Digital Image Processing
Guide to Three Dimensional Structure and Motion Factorization
Guide to Three Dimensional Structure and Motion Factorization
Edge Detection by Adaptive Splitting
Journal of Scientific Computing
IEEE Transactions on Image Processing
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In Llanas and Lantarón, J. Sci. Comput. 46, 485---518 (2011) we proposed an algorithm (EDAS-d) to approximate the jump discontinuity set of functions defined on subsets of 驴 d . This procedure is based on adaptive splitting of the domain of the function guided by the value of an average integral. The above study was limited to the 1D and 2D versions of the algorithm. In this paper we address the three-dimensional problem. We prove an integral inequality (in the case d=3) which constitutes the basis of EDAS-3. We have performed detailed computational experiments demonstrating effective edge detection in 3D function models with different interface topologies. EDAS-1 and EDAS-2 appealing properties are extensible to the 3D case.