Results 181 to 190 of about 1,874,872 (323)
Parallel Vectors Extraction using Bézier Clipping
Abstract In this paper, we propose a novel local feature extraction algorithm for the parallel vectors (PV) operator. Our method is based on Bézier clipping, which is a bracketing‐based root finding method that is commonly‐used in computer‐aided geometric design.
Nico Daßler, Tobias Günther
wiley +1 more source
Genetic modelling of the weekly weight of Japanese quails using orthogonal Legendre polynomials. [PDF]
Üçtepe A, Kominakis A.
europepmc +1 more source
Structure of operator algebras for matrix orthogonal polynomials [PDF]
Ignacio Bono Parisi, Inés Pacharoni
openalex +1 more source
Phong‐Rodrigues Extrinsic Vector‐Field Processing
Abstract We introduce a new extrinsic discretization of tangent vector fields on triangle meshes that is continuous, with bounded derivatives that are continuous almost everywhere, supporting pointwise evaluation and integration of differential operators.
Hongyi Liu +4 more
wiley +1 more source
Wiener–Hopf factorizations and matrix-valued orthogonal polynomials [PDF]
Arno B. J. Kuijlaars, Mateusz Piorkowski
openalex +2 more sources
High-accuracy pseudospectral scheme for fractional diffusion-wave problems based on cardinal functions. [PDF]
Saray BN +5 more
europepmc +1 more source
Tangent Blow‐Ups for Processing Non‐Manifold Geometry
Abstract Many geometry processing pipelines implicitly assume their input data is a manifold, or is sampled from one, with a unique tangent plane at every point. Geometric data, however, routinely contains sharp features like edges, corners, self‐intersections, branching junctions, and other singularities, rendering standard methods ill‐defined at ...
Alice Petrov +3 more
wiley +1 more source
Numerical analysis, spectral graph theory, orthogonal polynomials and quantum algorithms. [PDF]
Minenkova A, Mograby G, Zhan H.
europepmc +1 more source
Bidiagonal matrix factorisations related to multiple orthogonal polynomials
Amílcar Branquinho +4 more
openalex +1 more source
A practical algorithm for weighted k‐hulls
Abstract The convex hull is a central concept in computational geometry, geometry processing, and generally for summarizing sampled data. Its descriptive power suffers significantly in the presence of noise. The k‐hull, also known as the k‐depth contour in statistics, is the intersection of all half‐spaces that contain all but k data points, i.e. it is
N. Look, H. Meyer, M. Alexa
wiley +1 more source

