We report a new scheme of ghost imaging by using a spatially structured pump in the Fourier domain of spontaneous parametric down-conversion for quantum-correlation-based pattern recognition. We exploit the mathematical feature of Laguerre-Gaussian mode's Fourier transform to describe the pump-modulated formation of a ghost image. Of particular interest is the experimental demonstration of a quantum equivalence of a Vander Lugt filter, based on which the nonlocal spiral phase contrast for vortex mapping and quantum-correlation-based human face recognition are implemented successfully. The photons used for probing a test object, scanning the database, and producing a correlation signal can belong to three different light beams, which suggests some security applications where low-light-level illumination and covert operation are desired.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1103/PhysRevLett.122.123901 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Deep Learning-Based Pointer Meter Reading Recognition for Advancing Manufacturing Digital Transformation Research.
Sensors (Basel)
January 2025
School of Mechanical Engineering, Sichuan University, Chengdu 610065, China.
With the digital transformation of the manufacturing industry, data monitoring and collecting in the manufacturing process become essential. Pointer meter reading recognition (PMRR) is a key element in data monitoring throughout the manufacturing process. However, existing PMRR methods have low accuracy and insufficient robustness due to issues such as blur, uneven illumination, tilt, and complex backgrounds in meter images.
View Article and Find Full Text PDFAn Attention-Based Multidimensional Fault Information Sharing Framework for Bearing Fault Diagnosis.
Sensors (Basel)
January 2025
School of Mechanical Engineering, Guizhou University, Guiyang 550028, China.
Deep learning has performed well in feature extraction and pattern recognition and has been widely studied in the field of fault diagnosis. However, in practical engineering applications, the lack of sample size limits the potential of deep learning in fault diagnosis. Moreover, in engineering practice, it is usually necessary to obtain multidimensional fault information (such as fault localization and quantification), while current methods mostly only provide single-dimensional information.
View Article and Find Full Text PDFVision Sensor for Automatic Recognition of Human Activities via Hybrid Features and Multi-Class Support Vector Machine.
Sensors (Basel)
January 2025
Cognitive Systems Lab, University of Bremen, 28359 Bremen, Germany.
Over recent years, automated Human Activity Recognition (HAR) has been an area of concern for many researchers due to its widespread application in surveillance systems, healthcare environments, and many more. This has led researchers to develop coherent and robust systems that efficiently perform HAR. Although there have been many efficient systems developed to date, still, there are many issues to be addressed.
View Article and Find Full Text PDFIntelligent Pattern Recognition Using Distributed Fiber Optic Sensors for Smart Environment.
Sensors (Basel)
December 2024
Centre for Photonic Devices and Sensors, Department of Engineering, University of Cambridge, Cambridge CB3 0FA, UK.
Distributed fiber optic sensors (DFOSs) have become increasingly popular for intrusion detection, particularly in outdoor and restricted zones. Enhancing DFOS performance through advanced signal processing and deep learning techniques is crucial. While effective, conventional neural networks often involve high complexity and significant computational demands.
View Article and Find Full Text PDFCutaneous Nevoid Melanoma: A Retrospective Study on Clinico-Pathological Characteristics, with a Focus on Dermoscopic Features and Survival Analysis.
Cancers (Basel)
December 2024
Soft-Tissue, Peritoneum and Melanoma Surgical Oncology Unit, Veneto Institute of Oncology IOV-IRCCS, 35128 Padua, Italy.
Diagnosis of nevoid melanoma (NeM) is often difficult because NeM closely resembles a common nevus clinically and histologically. A retrospective study was conducted on 110 patients diagnosed with and/or treated for primary nevoid melanoma at the Veneto Institute of Oncology and at the University Hospital of Padua from August 1999. Mean Breslow thickness was of 1.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!