Camera Self-Calibration: Theory and Experiments
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Self-Calibration from Image Triplets
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Fast and Accurate Self-Calibration
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
A Survey of Camera Self-Calibration
AVSS '03 Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance
Hi-index | 0.00 |
A stereo system for vehicles, Unmanned Aerial Vehicles (UAVs), and hand eye systems must tolerate vibration of its cameras and be robust against disturbances. We propose a stereo self-adjustment methodology for resuming autonomous stereo system operations. The methodology aims to achieve autonomous recovery of camera directions, even if the cameras rotate after a weak impact. In autonomous recovery, the self-adjustment procedure calculates the rotation values of rotated cameras. The camera directions of the stereo system then recover their initial directions using the rotation parameters. Moreover, we have verified the validity of our approach through experiments using an active stereo camera in which three cameras can rotate independently.