3D Mapping for Visualization of Rigid Structures: A Review and Comparative Study

被引：36
作者：
Santoso, Fendy [1 ]
Garratt, Matthew A. [1 ]
Pickering, Mark R. [1 ]
Asikuzzaman, Md. [1 ]
机构：
[1] Univ New S Wales, Sch Informat Technol & Engn, Canberra, ACT 2600, Australia
来源：
IEEE SENSORS JOURNAL | 2016年 / 16卷 / 06期
关键词：
3D modeling; structure-from-motion (SfM); range camera; point clouds; data fusion; STRUCTURE-FROM-MOTION; LASER RANGE FINDER; IMAGE; VISION; FUSION; CAMERA;
D O I：
10.1109/JSEN.2015.2498940
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this review, we discuss state-of-the-art developments in 3D models for small and rigid structures. This includes the pros and cons of cutting-edge range cameras used as active 3D scanners, while also considering passive image reconstruction schemes by means of the well-known structure-frommotion (SfM) algorithms. Furthermore, we discuss the issue of how data fusion algorithms can be used to optimally fuse 2D contour information onto 3D models for several different applications. Considering the benefits of 3D range sensors, we also review current trends in optimum data fusion of point clouds from 3D range sensors. We present the benefits and the limitations of each algorithm against various design considerations. To highlight the pros and cons, we also perform a comparative study of the performance of a 3D range sensor, represented by an iPad structure sensor, with respect to the well-known SfM software packages, namely, Bundler, Microsoft PhotoSynth, Agisoft PhotoScan, and Smart3DCapture. Last, we highlight several research opportunities and potential research challenges associated with each technique.
引用
收藏
页码：1484 / 1507
页数：24
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