Title: Novel Patterns and Methods for Zooming Camera Calibration
Authors: Pennisi, Andrea
Bloisi, Dominico
Gaz, Claudio
Iocchi, Luca
Nardi, Daniele
Citation: Journal of WSCG. 2013, vol. 21, no. 1, p. 59-68.
Issue Date: 2013
Publisher: Václav Skala - Union Agency
Document type: článek
URI: http://wscg.zcu.cz/WSCG2013/!_2013_J_WSCG-1.pdf
ISSN: 1213–6972 (hardcopy)
1213-6980 (CD-ROM)
1213–6964 (on-line)
Keywords: virtuální reklama;kalibrace kamery;rozšířená realita
Keywords in different language: virtual advertisement;camera calibration;augmented reality
Abstract: Camera calibration is a necessary step in order to develop applications that need to establish a relationship between image pixels and real world points. The goal of camera calibration is to estimate the extrinsic and intrinsic camera parameters. Usually, for non-zooming cameras, the calibration is carried out by using a grid pattern of known dimensions (e.g., a chessboard). However, for cameras with zoom functions, the use of a grid pattern only is not sufficient, because the calibration has to be effective at multiple zoom levels and some features (e.g., corners) could not be detectable. In this paper, a calibration method based on two novel calibration patterns, specifically designed for zooming cameras, is presented. The first pattern, called in-lab pattern, is designed for intrinsic parameter recovery, while the second one, called on-field pattern, is conceived for extrinsic parameter estimation. As an application example, on-line virtual advertising in sport events, where the objective is to insert virtual advertising images into live or pre-recorded television shows, is considered. A quantitative experimental evaluation shows an increase of performance with respect to the use of standard calibration routines considering both re-projection accuracy and calibration time.
Rights: © Václav Skala - UNION Agency
Appears in Collections:Volume 21, Number 1 (2013)

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