Self-calibration from multiple views with a rotating camera
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
IEEE Transactions on Pattern Analysis and Machine Intelligence
Camera Calibration with One-Dimensional Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Euclidean Structure from Confocal Conics: Theory and Application to Camera Calibration
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Camera calibration with moving one-dimensional objects
Pattern Recognition
Euclidean structure from N ≥ 2 parallel circles: theory and algorithms
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Camera Calibration With Three Noncollinear Points Under Special Motions
IEEE Transactions on Image Processing
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In this paper, a linear method to determining intrinsic parameters from two parallel line-segments is proposed. Constrains based on the length ratio of line-segments are used to solve the camera calibration problem from images of two parallel line-segments under different conditions. And for each setting, we can get linear solution for intrinsic parameters of a usual camera. Simulated experiments are carried out to verify the theoretical correctness and numerical robustness of our results.