Image and Vision Computing - Special issue: frequency increase for 1991
Geometric invariance in computer vision
Geometric invariance in computer vision
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Self-calibration of an affine camera from multiple views
International Journal of Computer Vision
Self-Calibration of Stationary Cameras
International Journal of Computer Vision
A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple view geometry in computer vision
Multiple view geometry in computer vision
A Four-step Camera Calibration Procedure with Implicit Image Correction
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Calibrating pan-tilt cameras in wide-area surveillance networks
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Error Analysis of Pure Rotation-Based Self-Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
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Pan-tilt cameras are widely used in surveillance networks. These cameras are often equipped with telephoto lenses to capture objects at a distance. Such a camera makes full-metric calibration more difficult since the projection with a telephoto lens is close to orthographic. This paper discusses the problems caused by pan-tilt cameras with long focal length and presents a method to improve the calibration accuracy. Experiments show that our method reduces the re-projection errors by an order of magnitude compared to popular homography-based approaches.