A scale model for fitting object shapes from fixed location data

被引：4

作者：

Cabrera, J

Tsui, KL ^{[1
]}

Goonetilleke, RS

机构：

[1] Georgia Inst Technol, Sch Ind & Syst Engn, Atlanta, GA 30332 USA

[2] Rutgers State Univ, Dept Stat, Piscataway, NJ 08854 USA

[3] Hong Kong Univ Sci & Technol, Dept Ind Engn & Engn Management, Kowloon, Hong Kong, Peoples R China

来源：

IIE TRANSACTIONS | 2004年 / 36卷 / 11期

基金：

美国国家科学基金会;

关键词：

D O I：

10.1080/07408170490500672

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In this paper we present a scale model for fitting an ideal shape to an object. The measurements of the object are taken corresponding to a fixed coordinate system at a set of well-defined locations on the surface of the object. We propose an algorithm to estimate the model parameters and hypothesis tests to make statistical inferences about several possible special cases of the general model. The model is tested with an example that analyzes data on the feet of people in Hong Kong.

引用

页码：1099 / 1105

页数：7

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