Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/46190
Title: Automatic camera pose recognition in planar view scenarios
Authors: Alvarez, Luis 
Gomez, Luis 
Henriquez, Pedro
Mazorra, Luis 
UNESCO Clasification: 220990 Tratamiento digital. Imágenes
120601 Construcción de algoritmos
120602 Ecuaciones diferenciales
120326 Simulación
Keywords: Camera calibration
Sport scenarios
Lens distortion
Issue Date: 2012
Project: Modelización Matemática de Los Procesos de Calibración de Cámaras de Video. 
Journal: Lecture Notes in Computer Science 
Conference: 17th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2012 
Abstract: The main goal of this paper is to recognize automatically camera pose from a single image of a planar view scenario. We apply this technique to sport event scenarios using as information the white lines/circles dividing the different parts of the sport court. Using these court primitives we define a loss function that we minimize to obtain the best perspective transformation (homography) matching the actual sport court with its projection in the image. From such homography we recover the camera pose (position and orientation in the 3D space). We present numerical experiments in simulated and real sport scenarios.
URI: http://hdl.handle.net/10553/46190
ISBN: 978-3-642-33274-6
ISSN: 0302-9743
DOI: 10.1007/978-3-642-33275-3_50
Source: Alvarez L., Mejail M., Gomez L., Jacobo J. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2012. Lecture Notes in Computer Science, vol 7441. Springer, Berlin, Heidelberg
Appears in Collections:Actas de congresos
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