Title :
Automatic Projector Calibration Using Self-Identifying Patterns
Author_Institution :
NRC 1200 Montreal RD
Abstract :
Calibrating multiple monitor or projector display elements to provide a composite image can be a time-consuming task if performed manually. Ideally the user would like to roughly aim a number of projectors at a surface, define the desired display corners, and have some automatic method to align the display. A digital camera and computer vision can be used to calibrate the projectors with the assistance of self-identifying patterns. To account for distortion effects and to equalize brightness, it is desirable to know the mapping of many points within each projector image. A small set of images can be projected from each display element if a self-identifying pattern is used. An array of ARTag markers are used as a self-identifying pattern which is displayed in turn by each of the display monitors or projectors and recognized in the camera image. In this way an ad-hoc arrangement of projectors can be calibrated in seconds. Experimental results are shown validating this architecture.
Keywords :
Brightness; Calibration; Computer displays; Computer vision; Digital cameras; Image recognition; Monitoring; Pattern recognition; Rough surfaces; Surface roughness;
Conference_Titel :
Computer Vision and Pattern Recognition - Workshops, 2005. CVPR Workshops. IEEE Computer Society Conference on
Conference_Location :
San Diego, CA, USA
Print_ISBN :
0-7695-2372-2
DOI :
10.1109/CVPR.2005.416