Exploiting eigenvalues of the Hessian matrix for volume decimation

被引：0

作者：

Hladuvka, J ^{[1
]}

König, A ^{[1
]}

Gröller, E ^{[1
]}

机构：

[1] Vienna Univ Technol, Inst Comp Graph & Algorihms, A-1040 Vienna, Austria

来源：

W S C G ' 2001, VOLS I & II, CONFERENCE PROCEEDINGS | 2001年

关键词：

volume rendering; sparse data; Hessian matrix; eigenvalues; Laplacian filter;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In recent, years the Hessian matrix and its eigenvalues became important in pattern recognition. Several algorithms based on the information they provide have been introduced. We recall the relationship between the eigenvalues of Hessian matrix and the 2nd order edge detection filter, show the usefulness of treating them separately and exploit, these facts to design a combined threshold operation to generate sparse data sets.

引用

页码：124 / 129

页数：6

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