Space orientation based on image from a mobile camera

• Autorzy: Furtak J.
• Języki publikacji: EN

Abstrakty

EN

This paper presents the pose parameters estimation algorithm for a mobile camera in each of its position. The algorithm is based on recursive filtration of intermediary results. This feature makes a knowledge accumulation during calibration process possible. The algorithm was verified experimentally. The way of an experiment execution method and received results are described.

Słowa kluczowe

EN

space orientation; camera calibration

• Wydawca: Instytut Teleinformatyki i Automatyki, Wydział Cybernetyki, Wojskowa Akademia Techniczna im. Jarosława Dąbrowskiego
• Czasopismo: Biuletyn Instytutu Automatyki i Robotyki
• Rocznik: 2001
• Tom: R. 7, nr 15
• Strony: 3--14
• Opis fizyczny: Bibliogr. 11 poz., il.

Twórcy

autor

Furtak J.

• Cybernetics Faculty, Military University of Technology, 01-489 Warsaw, S. Kaliskiego 2, Poland

Bibliografia

• [1] Faugeras O. D., Toscani G.: Camera calibration for 3D-computer vision. Proceedings International Workshop on Machine Vision and Intelligence, Tokyo 2-5 February 1987.
• [2] Fu K. S., Gonzalez R. C., Lee C. S. G.: ROBOTICS: Control, Sensing, Vision, and Intelligence. McGraw-Hill, New York 1987.
• [3] Furtak J.: Calibration of Moving Camera. Eighth International Symposium on Measurement and Control in Robotics, Prague 8-12 June 1998, pp.359-363.
• [4] Furtak J.: Camera calibration utilising controlled translation. Machine Graphics & Vision Vol. 7, No. 1/2, 1998, pp. 125-134.
• [5] Furtak J.: Space orientation based on image from mobile camera (in Polish), IAiR WAT, Warsaw 1999.
• [6] Hartley R. I.: Self-Calibration from multiple View with a Rotating Camera, Proceedings European Conference on Computer Vision, Stockholm 1994, pp. 471-478.
• [7] Hartley R. I.: Self-Calibration of Stationary Cameras, International Journal of Computer Vision, 22, 1997, pp. 5-23.
• [8] Ito M., Ishii A.: A Non-iterative Procedure for Rapid and Precise Camera Calibration. Pattern Recognition, Vol. 27, No. 2, 1994, pp. 301-310.
• [9] Lenz R. K., Tsai R. Y.: Techniques for calibration of the scale factor and image centre for high accuracy 3-D machine vision metrology. IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 10 No. 5, 1988, pp. 713-718.
• [10] Luong Q. T., Faugeras O. D.: Self-calibration of a moving camera from point correspondences and fundamental matrices. International Journal of Computer Vision, Vol. 22, 1997, pp. 261-289.
• [11] Zhuang H., Roth Z. S.: Camera Aided Robot Calibration. CRC Press, New York 1996.