New Models for Scattering Bias Compensation in Time-of-Flight Range Camera Self-Calibration
Publication: Journal of Surveying Engineering
Volume 140, Issue 2
Abstract
The geometric calibration of time-of-flight range cameras is a necessary quality assurance measure performed to estimate the interior orientation parameters. Self-calibration from a network of range imagery of an array of signalized targets arranged in one or two planes can be used for this purpose. The latter configuration requires the addition of a parametric model for internal light scattering biases in the range observations to the background plane due to the presence of the foreground plane. In a previous study of MESA Imaging SwissRanger range cameras, such a model was developed and shown to be effective. A new parametric model is proposed here because the scattering error behavior is camera model dependent. The new model was tested on two pmdtechnologies range cameras, the CamCube 3.0 and CamBoard nano, and its effectiveness was demonstrated both graphically and statistically. The improvement gained in the root-mean square of the self-calibration range residuals of 22 and 32%, respectively, indicates the model’s ability to compensate for the scattering error. A reduction in correlation between the camera position and rangefinder offset of up to 10% was achieved, which is consistent with previous findings. In addition, a systematic approach for designing the optimal separation between the foreground and background planes is presented.
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Acknowledgments
Support for this research was provided by the Natural Sciences and Engineering Research Council of Canada (NSERC), the Canada Foundation for Innovation (CFI), and the Brazilian National Council for Scientific and Technological Development (CNPq). The authors thank the reviewers for their valuable comments.
References
Boehm, J., and Pattinson, T. (2010). “Accuracy of exterior orientation for a range camera.” Int. Arch. Photogramm., Remote Sens. and Spatial Inf. Sci., 38(5), 103–108.
Busemeyer, L., et al. (2013). “BreedVision—A multi-sensor platform for non-destructive field-based phenotyping in plant breeding.” Sensors, 13(3), 2830–2847.
Chiabrando, F., Chiabrando, R., Piatti, D., and Rinaudo, F. (2009). “Sensors for 3D imaging: Metric evaluation and calibration of a CCD/CMOS time-of-flight camera.” Sensors, 9(12), 10080–10096.
Chow, J. C. K., and Lichti, D. D. (2013). “A study of systematic errors in the PMD CamBoard nano.” Videometrics, range imaging, and applications XII, SPIE, Bellingham, WA.
Essen, H., et al. (2012). “A multimodal sensor system for runway debris detection.” Int. J. Microwave Wireless Technol., 4(2), 155–162.
Godbaz, J. P., Cree, M. J., and Dorrington, A. A. (2012). “Understanding and ameliorating non-linear phase and amplitude responses in AMCW lidar.” Remote Sens., 4(1), 21–42.
Hochdorfer, S., and Schlegel, C. (2010). “6 DoF SLAM using a ToF camera: The challenge of a continuously growing number of landmarks.” Proc., IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, IEEE, Piscataway, NJ, 3981–3986.
Kahlmann, T., and Ingensand, H. (2008). “Calibration and development for increased accuracy of 3D range imaging cameras.” J. Appl. Geod., 2(1), 1–11.
Karel, W. (2008). “Integrated range camera calibration using image sequences from hand-held operation.” Int. Arch. Photogramm., Remote Sens. and Spatial Inf. Sci., 37(B5), 945–951.
Karel, W., Ghuffar, S., and Pfeifer, N. (2012). “Modelling and compensating internal light scattering in time of flight range cameras.” Photogramm. Rec., 27(138), 155–174.
Lahamy, H., and Lichti, D. D. (2012). “Towards real-time and rotation-invariant American Sign Language alphabet recognition using a range camera.” Sensors, 12(11), 14416–14441.
Lange, R., and Seitz, P. (2001). “Solid-state time-of-flight range camera.” IEEE J. Quantum Electron., 37(3), 390–397.
Lichti, D. D., et al. (2012a). “Structural deflection measurement with a range camera.” J. Surv. Eng., 66–76.
Lichti, D. D., and Kim, C. (2011). “A comparison of three geometric self-calibration methods for range cameras.” Remote Sens., 3(5), 1014–1028.
Lichti, D. D., Kim, C., and Jamtsho, S. (2010). “An integrated bundle adjustment approach to range camera geometric self-calibration.” ISPRS J. Photogramm. Remote Sens., 65(4), 360–368.
Lichti, D. D., Qi, X., and Ahmed, T. (2012b). “Range camera self-calibration with scattering compensation.” ISPRS J. Photogramm. Remote Sens., 74(November), 101–109.
Lindner, M., Schiller, I., Kolb, A., and Koch, R. (2010). “Time-of-flight sensor calibration for accurate range sensing.” Comput. Vision Image Understanding, 114(12), 1318–1328.
Mönnich, H., Nicolai, P., Beyl, T., Raczkowsky, J., and Wörn, H. (2011). “A supervision system for the intuitive usage of a telemanipulated surgical robotic setup.” Proc., 2011 IEEE Int. Conf. on Robotics and Biomimetics (ROBIO), IEEE, Piscataway, NJ, 449–454.
Pfeifer, N., Lichti, D. D., Böhm, J., and Karel, W. (2013). “3D cameras: Errors, calibration and orientation.” Time-of-flight range imaging sensors and applications, F. Remondino and D. Stoppa, eds., Springer-Verlag, Berlin, 117–138.
Robbins, S., Murawski, B., and Schroeder, B. (2009). “Photogrammetric calibration and colorization of the SwissRanger SR-3100 3-D range imaging sensor.” Opt. Eng., 48(5), 053603.
Rüeger, J. M. (1990). Electronic distance measurement: An introduction, 3rd Ed., Springer-Verlag, Heidelberg, Germany.
Shahbazi, M., Homayouni, S., Saadatseresht, M., and Satari, M. (2011). “Range camera self-calibration based on integrated bundle adjustment via joint setup with a 2D digital camera.” Sensors, 11(9), 8721–8740.
Westfeld, P., Mulsow, C., and Schulze, M. (2009). “Photogrammetric calibration of range imaging sensors using intensity and range information simultaneously.” Proc., Optical 3-D Measurement Techniques IX, Technical Univ. Vienna and ETH Zurich, Vienna, Austria.
Zhu, C., Zhao, Y., Yu, L., and Tanimoto, M. (2013). 3D-TV system with depth-image-based rendering: Architectures, techniques and challenges, Springer, New York.
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Published In
Journal of Surveying Engineering
Volume 140 • Issue 2 • May 2014
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Apr 19, 2013
Accepted: Aug 14, 2013
Published online: Aug 19, 2013
Published in print: May 1, 2014
Discussion open until: Jul 10, 2014
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