Abstract
In the past few years, the use of digital cameras in robotic applications has been increasing significantly. The main areas of application of these robots are the industry and military, where these cameras are used as sensors that allow the robot to take the relevant information of the surrounding environment and making decisions. To extract information from the acquired image, such as shapes or colors, the configuration of the camera parameters, such as exposure, gain, brightness or white-balance, is very important. In this paper, we propose an algorithm for the autonomous setup of the most important parameters of digital cameras for robotic applications. The proposed algorithm uses the intensity histogram of the images and a black and a white area, known in advance, to estimate the parameters of the camera. We present experimental results that show the effectiveness of our algorithms. The images acquired after calibration show good properties for further processing, independently of the initial configuration of the camera.
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References
Mayer, G., Utz, H., Kraetzschmar, G.: Playing robot soccer under natural light: A case study. In: Polani, D., Browning, B., Bonarini, A., Yoshida, K. (eds.) RoboCup 2003. LNCS, vol. 3020, pp. 238–249. Springer, Heidelberg (2004)
Heinemann, P., Sehnke, F.S.F., Zell, A.: Towards a calibration-free robot: The act algorithm for automatic online color training, pp. 363–370 (2007)
Hafner, R., Lange, S., Lauer, M., Riedmiller, M.: Brainstormers tribots team description. Technical report, Institute of Computer Science, Institute of Cognitive Science, University of Osnabru, Germany (2008)
Zhang, H., Lu, H., Wang, X., Sun, F., Ji, X., Hai, D., Liu, F., Cui, L., Zheng, Z.: Nubot team description paper, Technical report, College of Mechatronics and Automation, National University of Defense Technology, China (2008)
Lunenburg, J.J.M., Ven, G.v.d.:Tech united team description. Technical report, Control Systems Technology Group, Eindhoven University of Technology, Netherlands (2008)
Bouchard, B., Lapensée, D., Lauzon, M., Pelletier-Thibault, S., Roy, J.C., Scott, G.: Robofoot Épm team description paper, Technical report, Mechatronics Laboratory, École Polytechnique de Montréal, Canada (2008)
Krawczyk, G., Goesele, M., Seidel, H.: Photometric calibration of high dynamic range cameras. Research Report MPI-I-2005-4-005, Max-Planck-Institut für Informatik, Stuhlsatzenhausweg 85, 66123 Saarbrücken, Germany (April 2005)
Azevedo, J.L., Lau, N., Corrente, G., Neves, A., Cunha, M.B., Santos, F., Pereira, A., Almeida, L., Lopes, L.S., Pedreiras, P., Vieira, J., Martins, D.A., Figueiredo, N., Silva, J., Filipe, N., Pinheiro, I.: CAMBADA 2008: Team description paper. Technical report, Universidade de Aveiro, Portugal (2008)
Neves, A.J.R., Martins, D.A., Pinho, A.J.: A hybrid vision system for soccer robots using radial search lines. In: Proc. of the 8th Conference on Autonomous Robot Systems and Competitions, Portuguese Robotics Open - ROBOTICA 2008, Aveiro, Portugal, pp. 51–55 (April 2008)
Shirvaikar, M.V.: An optimal measure for camera focus and exposure. In: Proc. of the IEEE Southeastern Symposium on System Theory, Atlanta, USA (March 2004)
Nourani-Vatani, N., Roberts, J.: Automatic camera exposure control. In: Proc. of the 2007 Australasian Conference on Robotics and Automation, Brisbane, Australia (December 2007)
D’Azzo, J.J., Houpins, C.H., Sheldon, S.N.: Linear Control System Analysis and Design with Matlab. CRC Press, Boca Raton (2003)
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Neves, A.J.R., Cunha, B., Pinho, A.J., Pinheiro, I. (2009). Autonomous Configuration of Parameters in Robotic Digital Cameras. In: Araujo, H., Mendonça, A.M., Pinho, A.J., Torres, M.I. (eds) Pattern Recognition and Image Analysis. IbPRIA 2009. Lecture Notes in Computer Science, vol 5524. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02172-5_12
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DOI: https://doi.org/10.1007/978-3-642-02172-5_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02171-8
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