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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Cubic q-Bézier Triangular Patch for Scattered Data Interpolation and Its Algorithm
AlgorithmsThis paper presents an approach to scattered data interpolation using q-Bézier triangular patches via an efficient algorithm. While existing studies have formed q-Bézier triangular patches through convex combination, their application to scattered data ...
Owen Tamin, Samsul Ariffin Abdul Karim
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Construction of Cubic Timmer Triangular Patches and its Application in Scattered Data Interpolation [PDF]
Mathematics, 2020 This paper discusses scattered data interpolation by using cubic Timmer triangular patches. In order to achieve C1 continuity everywhere, we impose a rational corrected scheme that results from convex combination between three local schemes.
Fatin Amani Mohd Ali +6 more
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An Efficient and Regularized Modeling Method for Massive Scattered Data Combining Triangulated Irregular Network and Multiquadric Function [PDF]
MathematicsSpatial discrete data modeling plays a crucial role in geoscientific data analysis, with accuracy and efficiency being significant factors to consider in the modeling of massive discrete datasets.
Haifei Liu +4 more
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Scattered data approximation using radial basis function with a cubic polynomial reproduction for modelling leaf surface [PDF]
Journal of Taibah University for Science, 2018 Realistic leaf models are significant for numerous applications in the plant sciences, for instance, modelling pesticide droplet movement on the leaf surface.
Moa’ath N. Oqielat
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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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