Abstract
A growing number of modern applications such as position determination, object recognition and collision prevention depend on accurate scene analysis. The estimation of an object’s distance relative to an observers position by image analysis or laser scan techniques is thereby still the most time-consuming and expensive part.
A lower-priced and much faster alternative is the distance measurement with modulated, coherent infrared light based on the (PMD) technique. As this approach is a rather new and unexplored method, proper calibration techniques have not been widely investigated yet. This paper describes an accurate distance calibration approach for PMD-based distance sensoring.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
3DV Systems (2006), http://www.3dvsystems.com
Xu, Z., Schwarte, R., Heinol, H., Buxbaum, B., Ringbeck, T.: Smart pixel – photonic mixer device (PMD). In: Proc. Int. Conf. on Mechatron. & Machine Vision, pp. 259–264 (1998)
Lange, R.: 3D time-of-flight distance measurement with custom solid-state image sensors in CMOS/CCD-technology. PhD thesis, University of Siegen (2000)
Kraft, H., Frey, J., Moeller, T., Albrecht, M., Grothof, M., Schink, B., Hess, H., Buxbaum, B.: 3D-camera of high 3D-frame rate, depth-resolution and background light elimination based on improved PMD (photonic mixer device)-technologies. In: OPTO (2004)
Prasad, T., Hartmann, K., Weihs, W., Ghobadi, S., Sluiter, A.: First steps in enhancing 3D vision technique using 2D/3D sensors. In: Chum, O., Franc, V. (eds.) 11th Computer Vision Winter Workshop 2006, pp. 82–86 (2006)
Tsai, R.Y.: An efficient and accurate camera calibration technique for 3d-machine vision. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 364–374 (1986)
Zhang, Z.: A flexible new technique for camera calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 133–134 (2000)
Bouguet, J.Y.: Visual methods for three-dimensional modeling. PhD thesis (1999)
Kuhnert, K.D., Stommel, M.: Fusion of stereo-camera and pmd-camera data for real-time suited precise 3D environment reconstruction. In: Proc. Int. Conf. on Intelligent Robots and Systems (submitted for publication, 2006)
Ma, Y., Stoatto, S., Kosecka, J., Sastry, S.: An invitation to 3D vision. Springer, Heidelberg (2004)
Faugeras, O.: Three-dimensional Computer Vision. The MIT Press, Cambridge (1993)
Forsyth, P.: Computer Vision - A Modern Approach. Alan Apt. (2003)
Brown, D.: Decentering distortion of lenses 32 (1966)
OpenCV (2006), http://www.intel.com/technology/computing/opencv/index.htm
Luan, X.: Experimental Investigation of Photonic Mixer Device and Development of TOF 3D Ranging Systems Based on PMD Technology. PhD thesis, Department of Electrical Engineering and Computer Science (2001)
Schwarte, R., Zhang, Z., Buxbaum, B.: Neue 3D-Bildsensoren für das Technische 3D-Sehen. VDE Kongress “Ambient Intelligence” (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lindner, M., Kolb, A. (2006). Lateral and Depth Calibration of PMD-Distance Sensors. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2006. Lecture Notes in Computer Science, vol 4292. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11919629_53
Download citation
DOI: https://doi.org/10.1007/11919629_53
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-48626-8
Online ISBN: 978-3-540-48627-5
eBook Packages: Computer ScienceComputer Science (R0)