TY - JOUR
T1 - Self-calibration of wireless cameras with restricted degrees of freedom
AU - Liu, Junbin
AU - Wark, Tim
AU - Lakemond, Ruan
AU - Sridharan, Sridha
PY - 2012/10
Y1 - 2012/10
N2 - 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.
AB - 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.
KW - Camera calibration
KW - Homography
KW - Radial distortion
KW - Wireless camera networks
UR - http://www.scopus.com/inward/record.url?scp=84864047522&partnerID=8YFLogxK
U2 - 10.1016/j.cviu.2012.06.001
DO - 10.1016/j.cviu.2012.06.001
M3 - Article
SN - 1077-3142
VL - 116
SP - 1033
EP - 1046
JO - Computer Vision and Image Understanding
JF - Computer Vision and Image Understanding
IS - 10
ER -