Range and image sensor combination for three‐dimensional reconstruction of objects or scenes

Author:

Altuntas Cihan,Yildiz Ferruh

Abstract

PurposeLaser 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/approachIn 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.FindingsIt 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/valueThe 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.

Publisher

Emerald

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering

Reference25 articles.

1. Al‐Manasir, K. and Fraser, C.S. (2006a), “Automatic registration of terrestrial laser scanner data via imagery”, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (IAPRS), Dresden, 25‐27 September, Vol. 36 No. 5, pp. 26‐31.

2. Al‐Manasir, K. and Fraser, C.S. (2006b), “Registration of terrestrial laser scanner data using imagery”, The Photogrammetric Record, Vol. 21 No. 115, pp. 255‐68.

3. Altuntas, C. (2011), “Study on evaluation of terrestrial laser scanner point clouds combined with photogrammetric data”, PhD thesis, The Graduate School of Natural and Applied Science of Selcuk University, Konya.

4. Altuntas, C., Pfeifer, N. and Yildiz, F. (2010), “Estimation of exterior parameters of sensor combination for efficiant 3D modeling”, International Archive of Photogrammetry, Remote Sensing and Spatial Information Sciences (IAPRS), Newcastle upon Tyne, 21‐24 June, Vol. 38 No. 5, pp. 23‐8.

5. Aquilera, D.G., Gonzalvez, P.R. and Lahoz, J.G. (2009), “An automatic procedure for co‐registration of terrestrial laser scanners and digital cameras”, ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 64, pp. 308‐16.

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