Author:
Ishikawa Naoto,Dobashi Yoshinori
Abstract
AbstractWe propose an efficient, specific method for estimating camera parameters from a single starry night image. Such an image consists of a collection of disks representing stars, so traditional estimation methods for common pictures do not work. Our method uses a database, a star catalog, that stores the positions of stars on the celestial sphere. Our method computes magnitudes (i.e., brightnesses) of stars in the input image and uses them to find the corresponding stars in the star catalog. Camera parameters can then be estimated by a simple geometric calculation. Our method is over ten times faster and more accurate than a previous method.
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition
Reference25 articles.
1. Liebe, C. C. Pattern recognition of star constellations for spacecraft applications. IEEE Aerospace and Electronic Systems Magazine Vol. 8, No. 1, 31–39, 1993.
2. Lamy Au Rousseau, G.; Bostel, J.; Mazari, B. Star recognition algorithm for APS star tracker: Oriented triangles. IEEE Aerospace and Electronic Systems Magazine Vol. 20, No. 2, 27–31, 2005.
3. Salvi, J.; Armangué, X.; Batlle, J. A comparative review of camera calibrating methods with accuracy evaluation. Pattern Recognition Vol. 35, No. 7, 1617–1635, 2002.
4. Zhang, Z. Camera Calibration. Prentice Hall, 2005.
5. Remondino, F.; Fraser, C. Digital camera calibration methods: Considerations and comparisons. In: Proceedings of the ISPRS Commission V Symposium “Image Engineering and Vision Metrology”, 266–272, 2006.