Fundamentals of interactive computer graphics
Fundamentals of interactive computer graphics
Road following using vannishing points
Computer Vision, Graphics, and Image Processing
Representation of 3D Surfaces by Two-Variable Fourier Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Geometric Calibration Methodology for Single-Head Cone-Beam X-Ray Systems
Journal of Intelligent and Robotic Systems
Vision and Inertial Sensor Cooperation Using Gravity as a Vertical Reference
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using Points at Infinity for Parameter Decoupling in Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Factorization Method for Structure from Planar Motion
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
EM enhancement of 3D head pose estimated by point at infinity
Image and Vision Computing
Perspective Geometry Based Single Image Camera Calibration
Journal of Mathematical Imaging and Vision
The calibration method for stereoscopic vision system
Machine Graphics & Vision International Journal
Applying fuzzy method to vision-based lane detection and departure warning system
Expert Systems with Applications: An International Journal
A taxonomy and analysis of camera calibration methods for traffic monitoring applications
IEEE Transactions on Intelligent Transportation Systems
Shadow generation of linear light source without 3D reconstruction
ICCOMP'06 Proceedings of the 10th WSEAS international conference on Computers
Automatic on-the-fly extrinsic camera calibration of onboard vehicular cameras
Expert Systems with Applications: An International Journal
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A novel approach to camera calibration by vanishing lines is proposed. Calibrated parameters include the orientation, position, and focal length of a camera. A hexagon is used as the calibration target to generate a vanishing line of the ground plane from its projected image. It is shown that the vanishing line includes useful geometric hints about the camera orientation parameters and the focal length, from which the orientation parameters can be solved easily and analytically. And the camera position parameters can be calibrated by the use of related geometric projective relationships. The simplicity of the target eliminates the complexity of the environment setup and simplifies the feature extraction in relevant image processing. The calibration formulas are also simple to compute. Experimental results show the feasibility of the proposed approach.