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Correspondence imaging can achieve positive-negative ghost images by just conditional averaging of partial patterns, without treating bucket intensities as weights. To explain its imaging mechanism, we develop a probability theory assuming…

Optics · Physics 2020-04-01 Jian Leng , Wen-Kai Yu , Shuo-Fei Wang

Ghost imaging (GI) is an unconventional imaging method that retrieves the image of an object by correlating a series of known illumination patterns with the total reflected (or transmitted) intensity. We here demonstrate a scheme which can…

Image and Video Processing · Electrical Eng. & Systems 2021-01-05 Yuan Yuan , Hui Chen

Objective- Heart rate monitoring using wrist type Photoplethysmographic (PPG) signals is getting popularity because of construction simplicity and low cost of wearable devices. The task becomes very difficult due to the presence of various…

Ghost imaging is a technique -- first realized in quantum optics -- in which the image emerges from cross-correlation between particles in two separate beams. One beam passes through the object to a bucket (single-pixel) detector, while the…

Ghost imaging is a fascinating framework which constructs the image of an object by correlating measurements between received beams and reference beams, none of which carries the structure information of the object independently. Recently,…

Signal Processing · Electrical Eng. & Systems 2020-03-04 Honghao Huang , Chengyang Hu , Minghua Chen , Sigang Yang , Hongwei Chen

In this paper, we propose an advanced framework of ghost edge imaging, named compressed ghost edge imaging (CGEI). In the scheme, a set of structured speckle patterns with pixel shifting are illuminated on an unknown object, and the output…

Image and Video Processing · Electrical Eng. & Systems 2019-07-24 Hui Guo , Le Wang , Shengmei Zhao

Remote Photoplethysmography (rPPG) is the process of estimating PPG from facial videos. While this approach benefits from contactless interaction, it is reliant on videos of faces, which often constitutes an important privacy concern.…

Computer Vision and Pattern Recognition · Computer Science 2023-06-05 Divij Gupta , Ali Etemad

Vital signs such as pulse rate and breathing rate are currently measured using contact probes. But, non-contact methods for measuring vital signs are desirable both in hospital settings (e.g. in NICU) and for ubiquitous in-situ health…

Computer Vision and Pattern Recognition · Computer Science 2015-03-25 Mayank Kumar , Ashok Veeraraghavan , Ashutosh Sabharval

Heartbeat rhythm and heart rate (HR) are important physiological parameters of the human body. This study presents an efficient multi-hierarchical spatio-temporal convolutional network that can quickly estimate remote physiological (rPPG)…

Computer Vision and Pattern Recognition · Computer Science 2023-04-24 Bin Li , Panpan Zhang , Jinye Peng , Hong Fu

In computational ghost imaging the object is illuminated with a sequence of known patterns, and the scattered light is collected using a detector that has no spatial resolution. Using those patterns and the total intensity measurement from…

Image and Video Processing · Electrical Eng. & Systems 2021-12-16 Harry Penketh , William L Barnes , Jacopo Bertolotti

Hypertension is a leading cause of morbidity and mortality worldwide. The ability to diagnose and treat hypertension in the ambulatory population is hindered by limited access and poor adherence to current methods of monitoring blood…

Computer Vision and Pattern Recognition · Computer Science 2025-03-04 Theodore Curran , Chengqian Ma , Xin Liu , Daniel McDuff , Girish Narayanswamy , George Stergiou , Shwetak Patel , Eugene Yang

This paper studies the problem of reproducible research in remote photoplethysmography (rPPG). Most of the work published in this domain is assessed on privately-owned databases, making it difficult to evaluate proposed algorithms in a…

Computer Vision and Pattern Recognition · Computer Science 2017-09-05 Guillaume Heusch , André Anjos , Sébastien Marcel

Heart rate recovery (HRR) within the initial minute following exercise is a widely utilized metric for assessing cardiac autonomic function in individuals and predicting mortality risk in patients with cardiovascular disease. However,…

Signal Processing · Electrical Eng. & Systems 2025-03-31 Ziheng Mao , Yuan He , Jia Zhang , Yimiao Sun , Yadong Xie , Xiuzhen Guo

We report an experimental proof of principle for ghost imaging in the hard x-ray energy range. We used a synchrotron x-ray beam that was split using a thin crystal in Laue diffraction geometry. With an ultra-fast imaging camera, we were…

Human health can be critically affected by cardiovascular diseases, such as hypertension, arrhythmias, and stroke. Heart rate and blood pressure are important biometric information for the monitoring of cardiovascular system and early…

Computer Vision and Pattern Recognition · Computer Science 2026-05-08 Gyutae Hwang , Sang Jun Lee

Classical ghost imaging is a new paradigm in imaging where the image of an object is not measured directly with a pixelated detector. Rather, the object is subject to a set of illumination patterns and the total interaction of the object,…

Image and Video Processing · Electrical Eng. & Systems 2023-08-02 Andrew M. Kingston , Lindon Roberts , Alaleh Aminzadeh , Daniele Pelliccia , Imants D. Svalbe , David M. Paganin

Computational ghost imaging is an imaging technique in which an object is imaged from light collected using a single-pixel detector with no spatial resolution. Recently, ghost cytometry has been proposed for a high-speed cell-classification…

Image and Video Processing · Electrical Eng. & Systems 2019-05-30 Issei Sato

Ghost imaging allows to image an object without directly seeing this object. Origi- nally demonstrated in the spatial domain using classical or entangled-photon sources, it was recently shown that ghost imaging can be transposed into the…

Ghost imaging was first demonstrated with entangled photon pairs and well-known for its peculiar properties. The signal beam that illuminates the object possesses no spatial resolution, whereas the reference beam, which never interacts with…

Quantum Physics · Physics 2026-04-10 Meixue Chen , Yiqi Song , Yu Gu , Huafan Zhang , Huaibin Zheng , Yuchen He , Hui Chen , Yu Zhou , Fuli Li , Zhuo Xu , Jianbin Liu

Photoplethysmography is a prevalent, non-invasive heart monitoring method. In this paper an implementation of photoplethysmography on the Raspberry Pi is presented. Two modulation techniques are discussed, which make possible to measure…

Systems and Control · Computer Science 2014-03-17 Tamas Nagy , Zoltan Gingl
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