Vector field reconstruction from sparse samples with applications

被引：0

作者：

Lage, Marcos ^{[1
]}

Petronetto, Fabiano ^{[1
]}

Paiva, Afonso ^{[1
]}

Lopes, Helio ^{[1
]}

Lewiner, Thomas ^{[1
]}

Tavares, Geovan ^{[1
]}

机构：

[1] Pontificia Univ Catolica Rio de Janeiro, Dept Matemat, Lab Matmidia, Rio de Janeiro, Brazil

来源：

SIBGRAPI 2006: XIX BRAZILIAN SYMPOSIUM ON COMPUTER GRAPHICS AND IMAGE PROCESSING, PROCEEDINGS | 2006年

关键词：

vector field reconstruction; partition of unity; function approximation;

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

We present a novel algorithm for 2D vector field reconstruction from sparse set of points-vectors pairs. Our approach subdivides the domain adaptively in order to make local piecewise polynomial approximations for the field. It uses partition of unity to blend those local approximations together generating a global approximation for the field. The flexibility of this scheme allows handling data from very different sources. In particular this work presents important applications of the proposed method to velocity and acceleration fields' analysis, in particular for fluid dynamics visualization.

引用

页码：297 / +

页数：2

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