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
Link To Document :
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