Online from: 1981
Subject Area: Electrical & Electronic Engineering
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|Title:||Range and image sensor combination for three-dimensional reconstruction of objects or scenes|
|Author(s):||Cihan Altuntas, (Department of Geomatic Engineering, Engineering and Architectural Faculty, Selcuk University, Selcuklu, Turkey), Ferruh Yildiz, (Department of Geomatic Engineering, Engineering and Architectural Faculty, Selcuk University, Selcuklu, Turkey)|
|Citation:||Cihan Altuntas, Ferruh Yildiz, (2012) "Range and image sensor combination for three-dimensional reconstruction of objects or scenes", Sensor Review, Vol. 32 Iss: 3, pp.236 - 244|
|Keywords:||Camera position parameters, Cameras, Cloud of 3-D points, Digital camera, Laser scanner, Modelling, Sensor combination, Sensors|
|Article type:||Research paper|
|DOI:||10.1108/02602281211233232 (Permanent URL)|
|Publisher:||Emerald Group Publishing Limited|
|Acknowledgements:||This paper is based on the first author's PhD thesis. The first author wants to express his gratitude to the Scientific and Technological Research Council of Turkey (TUBITAK) for financial support during his study visit (six mounts) to Vienna University of Technology. He also thanks Prof. Dr Norbert Pfeifer in Institute of Photogrammetry and Remote Sensing of TU Vienna for his valuable comments. Further, the authors would like to thank anonymous reviewers for valuable comments. Finally, both authors wish to thank the Scientific Research Foundation (BAP) of Selcuk University in Turkey for its generous support (Project no.: 09101023).|
Purpose – Laser scanning is increasingly used in many three-dimensional (3-D) measurement and modeling applications. It is the latest technique used in 3-D measurement, and is becoming increasingly important within a number of applications. However, many applications require photogrammetric data in addition to laser scanning data. The purpose of this paper is to present a range and image sensor combination for three-dimensional reconstruction of objects or scenes.
Design/methodology/approach – In this study, a Nikon D80 camera was mounted on an Ilris 3D laser scanner and CPP was estimated according to the laser scanner coordinate system. The estimated CPP was controlled using three different methods which were developed in this study and a sample application as coloring of point cloud using image taken by the camera mounted on the laser scanner was performed.
Findings – It was found that when a high-resolution camera is mounted on laser scanners, camera position parameters (CPP) should be estimated very accurately with respect to the laser scanner coordinate system.
Originality/value – The paper shows that the combination of high-resolution camera and laser scanners should be used for more accurate and efficient results in 3D modeling applications.
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