A method of object recognition for single pixel imaging

Boxuan Li; Wenwen Zhang

doi:10.1117/12.2292862

12 January 2018 A method of object recognition for single pixel imaging

Boxuan Li, Wenwen Zhang

Author Affiliations +

Proceedings Volume 10620, 2017 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology; 1062017 (2018) https://doi.org/10.1117/12.2292862
Event: International Conference on Optical Instruments and Technology 2017, 2017, Beijing, China

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

Citation Download Citation

Boxuan Li and Wenwen Zhang "A method of object recognition for single pixel imaging", Proc. SPIE 10620, 2017 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology, 1062017 (12 January 2018); https://doi.org/10.1117/12.2292862

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