Spline multiresolution and wavelet-like decompositions

被引：1
|
作者：
Hamm, Carsten [1 ]
Handeck, Joerg [1 ]
Sauer, Tomas [2 ]
机构：
[1] Siemens AG, Drive Technol Div, Ind Sect, D-91056 Erlangen, Germany
[2] Univ Passau, Lehrstuhl Math Schwerpunkt Digitale Bildverarbeit, D-94032 Passau, Germany
来源：
COMPUTER AIDED GEOMETRIC DESIGN | 2014年 / 31卷 / 7-8期
关键词：
Spline curve; Multiresolution; Edge detection; DESIGN;
D O I：
10.1016/j.cagd.2014.05.007
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Splines are useful tools to represent, modify and analyze curves and they play an important role in various practical applications. We present a multiresolution approach to spline curves with arbitrary knots that provides good feature detection and localization properties for non-equally distributed geometric data. In addition, we show how equidistributed data and knot sequences can be efficiently handled using signal processing techniques. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码：521 / 530
页数：10
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