Self-calibration of wireless cameras with restricted degrees of freedom


Autoria(s): Liu, Junbin; Wark, Tim; Lakemond, Ruan; Sridharan, Sridha
Data(s)

01/06/2012

Resumo

This paper presents an approach for the automatic calibration of low-cost cameras which are assumed to be restricted in their freedom of movement to either pan or tilt movements. Camera parameters, including focal length, principal point, lens distortion parameter and the angle and axis of rotation, can be recovered from a minimum set of two images of the camera, provided that the axis of rotation between the two images goes through the camera’s optical center and is parallel to either the vertical (panning) or horizontal (tilting) axis of the image. Previous methods for auto-calibration of cameras based on pure rotations fail to work in these two degenerate cases. In addition, our approach includes a modified RANdom SAmple Consensus (RANSAC) algorithm, as well as improved integration of the radial distortion coefficient in the computation of inter-image homographies. We show that these modifications are able to increase the overall efficiency, reliability and accuracy of the homography computation and calibration procedure using both synthetic and real image sequences

Identificador

http://eprints.qut.edu.au/52913/

Publicador

Elsevier

Relação

DOI:10.1016/j.cviu.2012.06.001

Liu, Junbin, Wark, Tim, Lakemond, Ruan, & Sridharan, Sridha (2012) Self-calibration of wireless cameras with restricted degrees of freedom. Computer Vision and Image Understanding, 116(10), pp. 1033-1046.

Direitos

Copyright © 2012 Elsevier Inc. Published by Elsevier Inc. All rights reserved.

Fonte

School of Electrical Engineering & Computer Science; Science & Engineering Faculty

Palavras-Chave #080104 Computer Vision #080106 Image Processing #090609 Signal Processing #Wireless camera networks #Camera calibration #Homography #Radial distortion
Tipo

Journal Article