Abstract
This paper uses as starting point the transformation matrix defined in the homogeneous space that associates the points of a 2D plane (that represents the model) with those of another 2D space (the image one), this transformation characterizing the camera capture process. This transformation (an homography from 2D to 2D) is coming from previous work and is used within the scope of the SimulFoot project. The final objective is to reconstruct a 3D model from TV soccer scenes, making it important to characterize the transformation between a 2D plane (the soccer field) and the camera image. We suppose the transformation (from image to field) is a conic projection whose center is S and projection plane is P in the model 3D space. We formulate two additional hypotheses related to the reference system of P: its origin is the orthogonal projection of S on P, and its first basis vector is parallel to the horizontal plane xOy. In fact, these conditions are often verified in soccer scenes since the camera is fixes on a tripod. In this communication, we give the camera location and aperture expressions on the only basis of the transformation matrix values.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
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)
Fitzgibbon, A.W., Zisserman, A.: Automatic 3D Model Acquisition and Generation of New Images from Video Sequences. In: Proceedings of European Signal Processing conference (EUSIPCO 1998), pp. 1261–1269 (1998)
Pollefeys, M.: 3D Modelling from Images. In: Tutorial notes, in conjunction with ECCV 2000 (2000)
Heikkila, O., Silven, O.: A Four-Step Camera Calibration Procedure with Implicit Image Correction. In: Proceedings of IEEE Computer Vision and Pattern Recognition, pp. 1106–1112 (1997)
Zhang, Z.: A flexible new technique for camera calibration. EEE Transactions on Pattern Analysis and Machine Intelligence, 1330–1334 (2000)
Mavromatis, M., Dias, P., Sequeira, J.: 3D Reconstruction of soccer sequences using non-calibrated video cameras. In: ICIAR 2007 (2007)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Llucia, L., Mavromatis, S., Perrotte, S., Dias, P., Sequeira, J. (2008). Camera Location and Aperture Characterization Using the Transformation between a 2D Plane and the Image Captured by the Camera. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2008. Lecture Notes in Computer Science, vol 5112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69812-8_38
Download citation
DOI: https://doi.org/10.1007/978-3-540-69812-8_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69811-1
Online ISBN: 978-3-540-69812-8
eBook Packages: Computer ScienceComputer Science (R0)