DocumentCode
496863
Title
Monocular Vision Measuring System for Flight Spin Based on Geometric Feature
Author
Li-heng, Wang ; Yue-zhong, Li ; Chang-xi, Li
Author_Institution
Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume
1
fYear
2009
fDate
18-19 July 2009
Firstpage
281
Lastpage
284
Abstract
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.
Keywords
aerospace engineering; cameras; feature extraction; image matching; image segmentation; spatial variables measurement; feature point extraction; feature point matching; geometric feature; monocular vision measuring system; occlusion; pinhole camera model; projection transformation; space information measurement; spin flight test; threshold segmentation; Cameras; Coordinate measuring machines; Extraterrestrial measurements; Image segmentation; Information processing; Machine vision; Position measurement; Solid modeling; Stereo vision; Testing; geometric feature; monocular vision measurement; spin test; threshold segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Processing, 2009. APCIP 2009. Asia-Pacific Conference on
Conference_Location
Shenzhen
Print_ISBN
978-0-7695-3699-6
Type
conf
DOI
10.1109/APCIP.2009.78
Filename
5197051
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