Abstract
Quality of 3D modelling in means of accuracy and level of detail is based fundamentally on the parameters of the imaging system. All aspects from camera design over calibration up to processing have to be regarded and to be coordinated. The whole system chain has to be realized and controlled.
The German Aerospace Center developed a new generation of line cameras called MFC (multi functional camera), which can be applied for spaceborne, airborne and terrestrial data acquisition. Its core is a CCD line module consisting of the imaging detector and the front end electronics. Any desired number of such modules can be combined to build up a custom specific imaging system. Flexible usage of different CCD sensors, USB2 interface, real time noise reduction and image compression are the main parameters of this camera. The application of an inertial measurement unit allows data acquisition with moving platforms.
This paper gives an overview about the system parameters. All steps of data processing are introduced and examples of 3D models will be given. State of the art stereo matching algorithms are of prime importance, therefore the applied semi-global matching is described shortly. The quality of data products will be evaluated. ...
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Brown, D.: Close-Range Camera Calibration. Photogrammetric Engineering, 37(8), 855–866
Zhang, Z.: A Flexible New Technique for Camera Calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(11), 1330–1334 (2000)
Börner, A., et al.: Ableitung photogrammetrischer Produkte mit der MFC-Kamera. In: DGPF Tagungsband 16/2007 joint congress of SGPBF, DGPF and OVG, Muttenz, Swiss (2007)
Hirschmüller, H.: Accurate and efficient stereo processing by semi-global matching and mutual information. In: IEEE Conference on Computer Vision and Pattern Recognition, San Diego, CA, USA, June 2005, vol. 2, pp. 807–814 (2005)
Hirschmüller, H., Scholten, F., Hirzinger, G.: Stereo vision based reconstruction of huge urban areas from an airborne pushbroom camera (hrsc). In: Kropatsch, W.G., Sablatnig, R., Hanbury, A. (eds.) DAGM 2005. LNCS, vol. 3663, pp. 58–66. Springer, Heidelberg (2005)
Viola, P., Wells, W.M.: Alignment by maximization of mutual information. International Journal of Computer Vision 24(2), 137–154 (1997)
Schuster, R., Braunecker, B.: Calibration of the LH Systems ADS40 Airborne Digital Sensor. In: International Archives of Photogrammetry and Remote Sensing, vol. XXXIII, part B1, Amsterdam, pp. 288–294 (2000)
Scheibe, K., Pospich, M., Scheele, M.: Multi-Sensor-Approach in Close Range Photogrammetry. In: Proceedings of Image and Vision Computing New Zealand 2002, Auckland, New Zealand, November 2002, pp. 77–81 (2002)
Scheibe, K.: Design and test of algorithms for the evaluation of modern sensors in close-range photogrammetry Dissertation, University Göttingen (2006), http://elib.dlr.de/44626/
Bodenmüller, T., Hirzinger, G.: Online Surface Reconstruction From Unorganized 3D-Points For the (DLR) Hand-guided Scanner System. In: 2nd Symposium on 3D Data Processing, Visualization, Transmission, Salonika, Greece (2004)
Hirzinger, G., et al.: Photo-Realistic 3D-Modelling - From Robotics Perception Towards Cultural Heritage. In: International Workshop on Recording, Modelling and Visualization of Cultural Heritage, Ascona, Switzerland (2005)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Anko, B., Heiko, H., Karsten, S., Michael, S., Jürgen, W. (2008). MFC - A Modular Line Camera for 3D World Modulling. In: Sommer, G., Klette, R. (eds) Robot Vision. RobVis 2008. Lecture Notes in Computer Science, vol 4931. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78157-8_24
Download citation
DOI: https://doi.org/10.1007/978-3-540-78157-8_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78156-1
Online ISBN: 978-3-540-78157-8
eBook Packages: Computer ScienceComputer Science (R0)