Monocular Vision Measuring System for Flight Spin Based on Geometric Feature

Because the projection transformation from 3-D to 2-D is irreversible, it canpsilat get the 3-D information of the unknown object from 2-D image. However, the measured object in the spin flight test is known in advance, their geometric features can be acquired before measurement. Based on the geomet...

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Bibliographic Details
Published in2009 Asia-Pacific Conference on Information Processing Vol. 1; pp. 281 - 284
Main Authors Wang Li-heng, Li Yue-zhong, Li Chang-xi
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2009
Subjects
Cameras
Coordinate measuring machines
Extraterrestrial measurements
geometric feature
Image segmentation
Information processing
Machine vision
monocular vision measurement
Position measurement
Solid modeling
spin test
Stereo vision
Testing
threshold segmentation
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Summary:Because the projection transformation from 3-D to 2-D is irreversible, it canpsilat get the 3-D information of the unknown object from 2-D image. However, the measured object in the spin flight test is known in advance, their geometric features can be acquired before measurement. Based on the geometric features of the measured object, measuring its space information using monocular vision is the research content of this paper. It presents the measurement model of monocular vision based on pinhole camera model. A method of feature points extracting and matching based on threshold segmentation is adopted. Finally a set of experimental data of spin test is given. The experimental result showed that the position and attitude of the model plane can be retrieved from known geometric feature and 2-D image. The occlusion of feature-point and distance between feature-points has great influence on the measurement precision.
ISBN:9780769536996
0769536999
DOI:10.1109/APCIP.2009.78