Results 181 to 190 of about 1,874,872 (323)

Parallel Vectors Extraction using Bézier Clipping

open access: yesComputer Graphics Forum, EarlyView.
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

Phong‐Rodrigues Extrinsic Vector‐Field Processing

open access: yesComputer Graphics Forum, EarlyView.
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

High-accuracy pseudospectral scheme for fractional diffusion-wave problems based on cardinal functions. [PDF]

open access: yesPLoS One
Saray BN   +5 more
europepmc   +1 more source

Tangent Blow‐Ups for Processing Non‐Manifold Geometry

open access: yesComputer Graphics Forum, EarlyView.
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

Bidiagonal matrix factorisations related to multiple orthogonal polynomials

open access: hybrid
Amílcar Branquinho   +4 more
openalex   +1 more source

A practical algorithm for weighted k‐hulls

open access: yesComputer Graphics Forum, EarlyView.
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

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