Robust Video Calibration for Augmented Reality
Abstract
Este artigo apresenta um algoritmo robusto capaz de estimar os parâmetros extrínsecos assumidos por uma câmera na captura dos quadros de um vídeo. É assumido que os parametros intrínsecos foram previamente estimados, e que estes não variam ao longo do tempo. No final do artigo é apresentado um exemplo de resultado aplicado à realidade aumentada.References
Fischler, M. A. and Bolles, R. C. (1981). Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM, 24(6):381–395.
Gibson, S., Cook, J., Howard, T., Hubbold, R., and Oram, D. (2002). Accurate camera calibration for off-line, video-based augmented reality. In International Symposium on Mixed and Augmented Reality (ISMAR’02), page 37.
Hartley, R. and Zisserman, A. (2003). Multiple View Geometry in computer vision, second edition. Cambrige University Press, Cambridge, United Kingdom.
Tomasi, C. and Kanade, T. (1991). Detection and tracking of point features. Technical Report CMU-CS-91-132, 24(6).
Gibson, S., Cook, J., Howard, T., Hubbold, R., and Oram, D. (2002). Accurate camera calibration for off-line, video-based augmented reality. In International Symposium on Mixed and Augmented Reality (ISMAR’02), page 37.
Hartley, R. and Zisserman, A. (2003). Multiple View Geometry in computer vision, second edition. Cambrige University Press, Cambridge, United Kingdom.
Tomasi, C. and Kanade, T. (1991). Detection and tracking of point features. Technical Report CMU-CS-91-132, 24(6).
Published
2007-06-30
How to Cite
MADEIRA, Bruno; VELHO, Luiz; CARVALHO, Paulo Cezar.
Robust Video Calibration for Augmented Reality. In: THESIS AND DISSERTATION CONTEST (CTD), 20. , 2007, Rio de Janeiro/RJ.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2007
.
p. 2008-2012.
ISSN 2763-8820.
