12 January 2018 A method of object recognition for single pixel imaging
Author Affiliations +
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, Boxuan Li, Wenwen Zhang, 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); doi: 10.1117/12.2292862; https://doi.org/10.1117/12.2292862


Finding distinctive colored regions in images
Proceedings of SPIE (January 31 1991)
Generalizing recognition strategies
Proceedings of SPIE (April 12 1993)
A fast approximate Harris corner detector
Proceedings of SPIE (October 29 2009)

Back to Top