Comparison between point cloud processing techniques

被引：15

作者：

Catalucci, Sofia ^{[1
,2
]}

Marsili, Roberto ^{[1
]}

Moretti, Michele ^{[1
]}

Rossi, Gianluca ^{[1
]}

机构：

[1] Univ Perugia, Dipartimento Ingn, Via Goffredo Duranti 93, I-06125 Perugia, Italy

[2] Univ Nottingham, Adv Mfg Bldg,Jubilee Campus, Nottingham NG8 1BB, England

来源：

MEASUREMENT | 2018年 / 127卷

关键词：

Photomodelling; Point cloud; Iterative Closest Point algorithm; Measurement criteria; THERMOELASTICITY;

D O I：

10.1016/j.measurement.2018.05.111

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Photomodelling is an innovative, economical and fast technique based on the same principles of photogrammetry, which leads to the creation of 3-dimensional models starting from the simple acquisition of photographs. The aim of this paper is to define performances and metrological characteristics of this new technique and to understand the full potential offered by point cloud processing software. The analytical comparison considers a structured light 3D scanning system Creaform Go Scan 50 with metrological certification as a reference, in order to verify the accuracy and precision of photomodelling, using a modified function of the ICP algorithm and spatial, volumetric and superficial comparison criteria.

引用

页码：221 / 226

页数：6

共 20 条

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