Name
Abstract | ||
|---|---|---|
This paper describes the calibration procedure of a CCD digital camera based on the perspective projection method. The idea of this method is to calibrate the camera in order to extract precise three dimensional information from the images so that they can be used for the computer vision and similar applications which take the images acquired from the camera as an input. The image capturing process reduces the dimensions of data from three to two. The camera calibration procedure determines which light source is associated with each pixel on the resulting image. Since the camera used in the process is a complex CCD camera, errors resulting from the misaligned lenses and deformations in their structures result in more complex distortions in the acquired image. In order to associate the points in the cameras image space with the locations in a 3D world space the camera projection matrix consisting of the estimated intrinsic and extrinsic parametars is calculated. The calibration process is comprised of capturing calibration images and processing them in order to get the intrinsic and extrinsic camera parameters. The results of the calibration are tested using the test images captured with the same camera. The calibration process was implemented using a MATLAB software package. |
Year | Venue | Keywords |
|---|---|---|
2012 | Opatija | calibration,computer vision,deformation,feature extraction,matrix algebra,software packages,video cameras,3D world space,CCD digital camera,MATLAB,Matlab,camera calibration toolbox,camera parameter estimation,camera projection matrix,computer vision,deformation,image capturing proccess,image distortion,images acquisition,information extraction,misaligned lens,perspective projection method,software package,CCD camera,calibration,extrinsic parametars,intrinsic parametars,perspective projection method,pixel error |
Field | DocType | ISBN |
Computer vision,Stereo camera,Computer graphics (images),Camera interface,Computer science,Camera auto-calibration,Camera resectioning,Digital camera,Artificial intelligence,Pixel,Camera matrix,Pinhole camera model | Conference | 978-1-4673-2577-6 |
Citations | PageRank | References |
2 | 0.43 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Azra Fetic | 1 | 2 | 0.43 |
| Davor Juric | 2 | 2 | 0.43 |
| Dinko Osmankovic | 3 | 2 | 0.43 |