A Rotation Based Sorting Method for the Feature Points Abstracted from Skew Calibration Image
During camera calibration, the calibration pattern image is always skew. This brings much difficult to feature points sorting, which affects calibration accuracy. In this study, a rotation based sorting method is proposed. First, detect the skew angle accurately; then, transform the original coordin...
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Published in | Applied Mechanics and Materials Vol. 427-429; no. Mechanical Engineering, Industrial Electronics and Information Technology Applications in Industry; pp. 1939 - 1943 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Zurich
Trans Tech Publications Ltd
01.09.2013
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Subjects | |
Online Access | Get full text |
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Summary: | During camera calibration, the calibration pattern image is always skew. This brings much difficult to feature points sorting, which affects calibration accuracy. In this study, a rotation based sorting method is proposed. First, detect the skew angle accurately; then, transform the original coordinates to the rotated coordinates and establish the mapping relation; then, sort the rotated coordinates; finally, sort the original coordinates using the mapping relation. To verify the feasibility of this method, an experiment is carried out. The result shows that the rotation based sorting method can sort the feature points accurately at different skew angles. Its accuracy makes this method suitable for high accurate camera calibration. |
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Bibliography: | Selected, peer reviewed papers from the 2013 2nd International Conference on Mechanical Engineering, Industrial Electronics and Informatization (MEIEI 2013), September 14-15, 2013, Chongqing, China ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISBN: | 9783037858905 3037858907 |
ISSN: | 1660-9336 1662-7482 1662-7482 |
DOI: | 10.4028/www.scientific.net/AMM.427-429.1939 |