TY - GEN
T1 - Camera calibration based on the common self-polar triangle of sphere images
AU - Huang, Haifei
AU - Zhang, Hui
AU - CHEUNG, Yiu Ming
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - Sphere has been used for camera calibration in recent years. In this paper, a new linear calibration method is proposed by using the common self-polar triangle of sphere images. It is shown that any two of sphere images have a common self-polar triangle. Accordingly, a simple method for locating the vertices of such triangles is presented. An algorithm for recovering the vanishing line of the support plane using these vertices is developed. This allows to find out the imaged circular points, which are used to calibrate the camera. The proposed method starts from an existing theory in projective geometry and recovers five intrinsic parameters without calculating the projected circle center, which is more intuitive and simpler than the previous linear ones. Experiments with simulated data, as well as real images, show that our technique is robust and accurate.
AB - Sphere has been used for camera calibration in recent years. In this paper, a new linear calibration method is proposed by using the common self-polar triangle of sphere images. It is shown that any two of sphere images have a common self-polar triangle. Accordingly, a simple method for locating the vertices of such triangles is presented. An algorithm for recovering the vanishing line of the support plane using these vertices is developed. This allows to find out the imaged circular points, which are used to calibrate the camera. The proposed method starts from an existing theory in projective geometry and recovers five intrinsic parameters without calculating the projected circle center, which is more intuitive and simpler than the previous linear ones. Experiments with simulated data, as well as real images, show that our technique is robust and accurate.
UR - http://www.scopus.com/inward/record.url?scp=84945971856&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-16808-1_2
DO - 10.1007/978-3-319-16808-1_2
M3 - Conference proceeding
AN - SCOPUS:84945971856
SN - 9783319168074
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 19
EP - 29
BT - Computer Vision - ACCV 2014 - 12th Asian Conference on Computer Vision, Revised Selected Papers
A2 - Yang, Ming-Hsuan
A2 - Saito, Hideo
A2 - Cremers, Daniel
A2 - Reid, Ian
PB - Springer Verlag
T2 - 12th Asian Conference on Computer Vision, ACCV 2014
Y2 - 1 November 2014 through 5 November 2014
ER -