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Self-Calibration of a Light Striping System by Matching Multiple 3-D Profile Maps (1999)
| Venue: | IN PROC. SECOND INT. CONF. ON 3-D DIGITAL IMAGING AND MODELING 3DIM’99 |
| Citations: | 14 - 0 self |
BibTeX
@INPROCEEDINGS{Jokinen99self-calibrationof,
author = {Olli Jokinen},
title = {Self-Calibration of a Light Striping System by Matching Multiple 3-D Profile Maps},
booktitle = {IN PROC. SECOND INT. CONF. ON 3-D DIGITAL IMAGING AND MODELING 3DIM’99},
year = {1999},
pages = {180--190},
publisher = {IEEE Computer Society Press}
}
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Abstract
A new method is proposed for refining the calibration of a light striping system including a projective transformation between the image plane of the camera and the plane of the laser sheet, and also the direction of the scanning with respect to the plane of the laser sheet. The refinement is obtained through weighted least squares matching of multiple profile maps acquired from different viewpoints and registered previously using an approximate calibration. Testing with synthetically generated profile maps shows that if the geometry of the object is appropriate and the registration parameters and the intrinsic parameters of the system are known exactly, then a calibration accuracy of 0:003 : : : 0:00003% relative to the scene dimensions can be achieved as the average noise level in the maps used for the calibration decreases from 0:3 down to zero pixels. It is also possible to adjust several calibrations at the same time. The registration and calibration parameters can be refined sim...
Keyphrases
multiple 3-d profile map laser sheet calibration accuracy average noise level different viewpoint projective transformation new method registration parameter intrinsic parameter multiple profile map image plane scene dimension calibration parameter approximate calibration several calibration profile map
