Title :
A genetic algorithm approach to camera calibration in 3D machine vision
Author :
Roberts, M. ; Naftel, A.J.
Author_Institution :
Dept. of Math. & Stat., Central Lancashire Univ., Preston, UK
Abstract :
The camera calibration problem in 3D machine vision involves the determination of the interior orientation (internal camera geometry) and exterior orientation parameters (position and angular rotation relative to a specified 3D world coordinate system) using known control points. Additional parameters can be used to model the nonlinear effects of lens distortion. If an unknown targeted point is then imaged in two cameras or single camera together with an active structured light source (e.g. a projector), the position of the object point can be determined by intersecting the two calibrated rays
Keywords :
calibration; computer vision; genetic algorithms; stereo image processing; 3D machine vision; active structured light source; angular rotation; camera calibration; exterior orientation; genetic algorithm; interior orientation; internal camera geometry; lens distortion nonlinear effects; position;
Conference_Titel :
Genetic Algorithms in Image Processing and Vision, IEE Colloquium on
Conference_Location :
London
