Results 1 to 10 of about 1,136,091 (291)
Surface Fitting for Quasi Scattered Data from Coordinate Measuring Systems [PDF]
Sensors, 2018 Non-uniform rational B-spline (NURBS) surface fitting from data points is wildly used in the fields of computer aided design (CAD), medical imaging, cultural relic representation and object-shape detection.
Qing Mao +3 more
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C¹ Positive Surface over Positive Scattered Data Sites. [PDF]
PLoS ONE, 2015 The aim of this paper is to develop a local positivity preserving scheme when the data amassed from different sources is positioned at sparse points.
Farheen Ibraheem +2 more
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Malaysia's rainfall and Kalumpang agricultural station data for scattered data interpolation [PDF]
Data in BriefScattered data interpolation is an essential technique used in environmental, geospatial and meteorological analysis. It enables the estimation of unknown values within a dataset at the domain by utilising known data points.
Samsul Ariffin Abdul Karim, Owen Tamin
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Approximate Approximations from scattered data
Journal of Approximation Theory, 2005 The aim of this paper is to extend the approximate quasi-interpolation on a uniform grid by dilated shifts of a smooth and rapidly decaying function on a uniform grid to scattered data quasi-interpolation.
Lanzara, F., Maz'ya, V., Schmidt, G.
core +4 more sources
Dataset of scattered images using noncoherent light under varying diffusion conditions and projected patternsMendeley Data [PDF]
Data in BriefThis data article presents an experimental dataset of scattered images, obtained using a low-cost, open-source, Raspberry Pi-based optical system. Each data sample includes two grayscale images of 256 × 256 resolution: the (i) scattered image, and (ii ...
Roger Chiu-Coutino +5 more
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Scattered manifold-valued data approximation [PDF]
Numerische Mathematik, 2016 ISSN:0029 ...
Grohs, Philipp +2 more
openaire +6 more sources
Meshfree Interpolation of Multidimensional Time-Varying Scattered Data
Computers, 2023 Interpolating and approximating scattered scalar and vector data is fundamental in resolving numerous engineering challenges. These methodologies predominantly rely on establishing a triangulated structure within the data domain, typically constrained to
Vaclav Skala, Eliska Mourycova
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Localization of Scattering Objects Using Neural Networks
Sensors, 2020 The localization of multiple scattering objects is performed while using scattered waves. An up-to-date approach: neural networks are used to estimate the corresponding locations. In the scattering phenomenon under investigation, we assume known incident
Domonkos Haffner, Ferenc Izsák
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An efficient outlier removal method for scattered point cloud data. [PDF]
PLoS ONE, 2018 Outlier removal is a fundamental data processing task to ensure the quality of scanned point cloud data (PCD), which is becoming increasing important in industrial applications and reverse engineering.
Xiaojuan Ning +3 more
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Samplets: Construction and scattered data compression
Journal of Computational Physics, 2022 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Helmut Harbrecht, Michael Multerer
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