A camera calibration technique using three sets of parallel lines
Machine Vision and Applications
Using vanishing points for camera calibration
International Journal of Computer Vision
3-D camera calibration using vanishing point concept
Pattern Recognition
Camera Calibration by Vanishing Lines for 3-D Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
New method for vanishing point detection
CVGIP: Image Understanding
Geometric computation for machine vision
Geometric computation for machine vision
Camera calibration of a head-eye system for active vision
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
Camera Calibration Using Multiple Images
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Equidistant (fθ) fish-eye perspective with application in distortion centre estimation
Image and Vision Computing
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This paper presents a novel method for 3D camera calibration. Calculation of the focal length and the optical center of the camera are the main objectives of this research work. The proposed technique requires a single image having two vanishing points. A rectangular prism is employed as the calibration target to generate vanishing points. The special arrangement of the calibration object adds more accuracy in finding the intrinsic parameters. Based on the geometry of the perspective distortion of the edges of the prisms from the image, vanishing points are found. There on, fixing up the picture plane followed by fixing up of the station point is carried out based on the relations that are formulated. Experimental results of our method are likened with Zhang's method. Results are tabulated to show the accuracy of the proposed approach.