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Proceedings Paper

Position detection with high precision using novel compound-eye sensor
Author(s): Hao Zhang; Keyi Wang; Zhaolou Cao; Qinglin Wu
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Paper Abstract

A new compound eyes model is designed to track the fast-moving object and detect its position with high precision in complex background. The compound eyes that consist of several eyelet channels have good nature of wide fields of view and high update rate for vision systems. Adjacent eyelet fields of view have certain degree of overlapping for detecting 3D coordinates of an object. Gradient lenses, instead of fiber bundles, are used below each eyelet lens in order to transfer eyelet image onto a re-image structure in simulation. And the eyelet image is projected onto a Charge Coupled Device (CCD) detector array through the gradient lens, avoiding expensive fiber bundles and complex assembly. Besides, simulation and analyze of the compound eyes model is performed. Neural network calibration algorithm has been adapted to build the relationship between the object points and corresponding image points for each eyelet. This calibration algorithm provides a highly accurate prediction of object data points from their corresponding image points. After getting the intrinsic and extrinsic parameters of each eyelet channel, 3D coordinates of an object can be calculated from its image points. Preliminary experimental results for Neural Network calibration are presented and evaluated, showing residual errors between actual and predicted direction angles of around 10-3~10-4 rad. And errors between actual and calculated coordinates of position are within 3%.

Paper Details

Date Published: 23 November 2009
PDF: 8 pages
Proc. SPIE 7508, 2009 International Conference on Optical Instruments and Technology: Advanced Sensor Technologies and Applications, 75081L (23 November 2009); doi: 10.1117/12.839170
Show Author Affiliations
Hao Zhang, Univ. of Science and Technology of China (China)
Keyi Wang, Univ. of Science and Technology of China (China)
Zhaolou Cao, Univ. of Science and Technology of China (China)
Qinglin Wu, Univ. of Science and Technology of China (China)


Published in SPIE Proceedings Vol. 7508:
2009 International Conference on Optical Instruments and Technology: Advanced Sensor Technologies and Applications
YanBiao Liao; Anbo Wang; Tingyun Wang; Yukihiro Ishii, Editor(s)

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