Paper
12 January 2018 A method of object recognition for single pixel imaging
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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
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Object recognition

Signal to noise ratio

Computer vision technology

Detection and tracking algorithms

Machine vision

Optical design

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