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A method of object recognition for single pixel imaging
Author(s): Boxuan Li; Wenwen Zhang
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Paper Abstract

Computational ghost imaging(CGI), utilizing a single-pixel detector, has been extensively used in many fields. However, in order to achieve a high-quality reconstructed image, a large number of iterations are needed, which limits the flexibility of using CGI in practical situations, especially in the field of object recognition. In this paper, we purpose a method utilizing the feature matching to identify the number objects. In the given system, approximately 90% of accuracy of recognition rates can be achieved, which provides a new idea for the application of single pixel imaging in the field of object recognition

Paper Details

Date Published: 12 January 2018
PDF: 5 pages
Proc. SPIE 10620, 2017 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology, 1062017 (12 January 2018); doi: 10.1117/12.2292862
Show Author Affiliations
Boxuan Li, Nanjing Univ. of Science and Technology (China)
Wenwen Zhang, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 10620:
2017 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology
Guohai Situ; Xun Cao; Wolfgang Osten; Liquan Dong, Editor(s)

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