Abstract
We propose a novel minimum uncertainty approach to relative pose selection for multi-camera self-calibration. We show how this discrete global optimization problem can be expressed as a shortest triangle paths problem. For the latter, we present an efficient algorithm and prove its correctness. It has several advantages compared to a similar approach of Vergés-Llahí, Moldovan and Wada. In quantitative experiments on publically available data, we show that our relative pose selection method provides improvements compared to naive, random and greedy selection, without and with subsequent bundle adjustment.
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Bajramovic, F.: Multi camera calibration test data (2010). URL http://www.inf-cv.uni-jena.de/~bajramov/multicameratestdata/index.html
Bajramovic, F., Denzler, J.: An efficient shortest triangle paths algorithm for uncertainty-based multi camera calibration. In: OMNIVIS’2008, the Eighth Workshop on Omnidirectional Vision, Camera Networks and Non-classical Cameras (2008)
Bajramovic, F., Denzler, J.: Global uncertainty-based selection of relative poses for multi camera calibration. In: Proceedings of the British Machine Vision Conference (BMVC), vol. 2, pp. 745–754 (2008)
Bajramovic, F., Denzler, J.: Experimentelle Auswertung von Unsicherheitsmaßen auf relativen Posen für die Multikamerakalibrierung. In: Publikationen der Deutschen Gesellschaft für Photogrammetrie und Fernerkundung (DGPF), 29. Tagung, Jena 2009, pp. 119–126 (2009)
Bajramovic, F., Brückner, M., Denzler, J.: Using common field of view detection for multi camera calibration. In: Proceedings of the Vision Modeling and Visualization Conference (VMV), pp. 113–120 (2009)
Bajramovic, F., Koch, M., Denzler, J.: Experimental comparison of wide baseline correspondence algorithms for multi camera calibration. In: VISAPP 2009: Proceedings of the Fourth International Conference on Computer Vision Theory and Applications, pp. 458–463 (2009)
Baker, P., Aloimonos, Y.: Complete calibration of a multi-camera network. In: Proceedings of the Workshop on Omnidirectional Vision (OMNIVIS), pp. 134–144 (2000)
Barreto, J.P., Daniilidis, K.: Wide area multiple camera calibration and estimation of radial distortion. In: Proceedings of the Workshop on Omnidirectional Vision (OMNIVIS) (2004)
Brückner, M., Bajramovic, F., Denzler, J.: Experimental evaluation of relative pose estimation algorithms. In: VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, vol. 2, pp. 431–438 (2008)
Chen, X., Davis, J., Slusallek, P.: Wide area camera calibration using virtual calibration objects. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), vol. 2, pp. 2520–2527 (2000)
Engels, C., Nistér, D.: Global uncertainty in epipolar geometry via fully and partially data-driven sampling. In: ISPRS Workshop BenCOS: Towards Benchmarking Automated Calibration, Orientation and Surface Reconstruction from Images, pp. 17–22 (2005)
Fischler, M.A., Bolles, R.C.: Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun. ACM 24(6), 381–395 (1981)
Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision, 2nd edn. Cambridge University Press, Cambridge (2003)
Horn, B.K.P.: Closed form solution of absolute orientation using unit quaternions. J. Opt. Soc. A 4(4), 629–642 (1987)
Hörster, E., Lienhart, R.: Calibrating and optimizing poses of visual sensors in distributed platforms. ACM Multimed. Syst. J. 12(3), 195–210 (2006). Special Issue on Multimedia Surveillance System
Kitahara, I., Saito, H., Akimichi, S., Ono, T., Ohta, Y., Kanade, T.: Large-scale virtualized reality. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Technical Sketches (2001)
Läbe, T., Förstner, W.: Automatic relative orientation of images. In: Proceedings of the 5th Turkish-German Joint Geodetic Days (2006)
Lourakis, M.I.A., Argyros, A.A.: SBA: A software package for generic sparse bundle adjustment. ACM Trans. Math. Softw. 36(1), 1–30 (2009)
Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 60(2), 91–110 (2004)
MacKay, D.J.C.: Information Theory, Inference, and Learning Algorithms. Cambridge University Press, Cambridge (2003)
Mantzel, W.E., Choi, H., Baraniuk, R.G.: Distributed camera network localization. In: Proceedings of the 38th Asilomar Conference on Signals. Systems and Computers, vol. 2, pp. 1381–1386 (2004)
Martinec, D., Pajdla, T.: 3D reconstruction by gluing pair-wise Euclidean reconstructions, or “How to achieve a good reconstruction from bad images”. In: 3DPVT ’06: Proceedings of the Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT’06), pp. 25–32 (2006)
Martinec, D., Pajdla, T.: Robust rotation and translation estimation in multiview reconstruction. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1–8 (2007)
Schiller, I.: Mip—multicameracalibration. http://www.mip.informatik.uni-kiel.de/tiki-index.php?page=Calibration (2009). Last visited 2010-01-14
Schiller, I., Beder, C., Koch, R.: Calibration of a pmd camera using a planar calibration object together with a multi-camera setup. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XXXVII, pp. 297–302 (2008), Part B3a. XXI. ISPRS Congress
Snavely, N., Seitz, S., Szeliski, R.: Modeling the world from Internet photo collections. Int. J. Comput. Vis. 80(2), 189–210 (2008)
Stewénius, H., Engels, C., Nistér, D.: Recent developments on direct relative orientation. ISPRS J. Photogramm. Remote Sens. 60(4), 284–294 (2006)
Svoboda, T., Martinec, D., Pajdla, T.: A convenient multi-camera self-calibration for virtual environments. PRESENCE: Teleoper. Virtual Environ. 14(4), 407–422 (2005)
Torr, P., Zisserman, A.: MLESAC: a new robust estimator with application to estimating image geometry. Comput. Vis. Image Underst. 78(19), 138–156 (2000)
Tukey, J.W.: Exploratory Data Analysis. Addison–Wesley, Reading (1977)
Vedaldi, A.: An open implementation of the SIFT detector and descriptor. Tech. Rep. 070012, UCLA CSD (2007)
Vergés-Llahí, J., Wada, T.: A general algorithm to recover external camera parameters from pairwise camera calibrations. In: ICIAR ’08: Proceedings of the 5th International Conference on Image Analysis and Recognition, pp. 294–304. Springer, Berlin (2008)
Vergés-Llahí, J., Moldovan, D., Wada, T.: A new reliability measure for essential matrices suitable in multiple view calibration. In: VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, vol. 1, pp. 114–121 (2008)
Zhang, Z.: A flexible new technique for camera calibration. IEEE Trans. Pattern Anal. Mach. Intell. 22(11), 1330–1334 (2000)
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Bajramovic, F., Brückner, M. & Denzler, J. An Efficient Shortest Triangle Paths Algorithm Applied to Multi-camera Self-calibration. J Math Imaging Vis 43, 89–102 (2012). https://doi.org/10.1007/s10851-011-0288-9
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DOI: https://doi.org/10.1007/s10851-011-0288-9