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Photoplethysmographic imaging is a camera-based solution for non-contact cardiovascular monitoring from a distance. This technology enables monitoring in situations where contact-based devices may be problematic or infeasible, such as…

Computer Vision and Pattern Recognition · Computer Science 2016-06-30 Robert Amelard , David A Clausi , Alexander Wong

Remote photoplethysmography (rPPG), a family of techniques for monitoring blood volume changes, may be especially useful for widespread contactless health monitoring using face video from consumer-grade visible-light cameras. The COVID-19…

Computer Vision and Pattern Recognition · Computer Science 2021-05-21 Jeremy Speth , Nathan Vance , Patrick Flynn , Kevin Bowyer , Adam Czajka

In this study, we make non-invasive, remote, passive measurements of the heart beat frequency and determine the map of blood pulsation intensity in a region of interest (ROI) of skin. The ROI used was the forearm of a volunteer. The method…

Medical Physics · Physics 2016-11-14 Pedro Henrique de M. Borges , George C. Cardoso

When working with 3D facial data, improving fidelity and avoiding the uncanny valley effect is critically dependent on accurate 3D facial performance capture. Because such methods are expensive and due to the widespread availability of 2D…

Computer Vision and Pattern Recognition · Computer Science 2024-06-26 Felix Taubner , Prashant Raina , Mathieu Tuli , Eu Wern Teh , Chul Lee , Jinmiao Huang

Remote photoplethysmography (rPPG) allows for noncontact monitoring of blood volume changes from a camera by detecting minor fluctuations in reflected light. Prior applications of rPPG focused on face videos. In this paper we explored the…

Computer Vision and Pattern Recognition · Computer Science 2023-03-23 Lu Niu , Jeremy Speth , Nathan Vance , Benjamin Sporrer , Adam Czajka , Patrick Flynn

This study proposes a sensing method using a millimeter-wave array radar and a depth camera to measure pulse waves at multiple sites on the human body. Using a three-dimensional shape model of the target human body measured by the depth…

Signal Processing · Electrical Eng. & Systems 2024-05-20 Takehito Koshisaka , Takuya Sakamoto

We introduce PoreTrack3D, the first benchmark for dynamic 3D Gaussian splatting in pore-scale, non-rigid 3D facial trajectory tracking. It contains over 440,000 facial trajectories in total, among which more than 52,000 are longer than 10…

Computer Vision and Pattern Recognition · Computer Science 2025-12-16 Dong Li , Jiahao Xiong , Yingda Huang , Le Chang

Photoplethysmography (PPG) signals have become a key technology in many fields, such as medicine, well-being, or sports. Our work proposes a set of pipelines to extract remote PPG signals (rPPG) from the face robustly, reliably, and…

Computer Vision and Pattern Recognition · Computer Science 2023-05-08 Constantino Álvarez Casado , Miguel Bordallo López

Photoacoustic computed tomography (PACT) is a proven technology for imaging hemodynamics in deep brain of small animal models. PACT is inherently compatible with ultrasound (US) imaging, providing complementary contrast mechanisms. While…

Instrumentation and Detectors · Physics 2023-07-28 Yuqi Tang , Zhijie Dong , Nanchao Wang , Angela del Aguila , Natalie Johnston , Tri Vu , Chenshuo Ma , Yirui Xu , Wei Yang , Pengfei Song , Junjie Yao

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

Human heartbeat can be measured using several different ways appropriately based on the patient condition which includes contact base such as measured by using instruments and non-contact base such as computer vision assisted techniques.…

Computer Vision and Pattern Recognition · Computer Science 2020-10-12 Vladislav Ostankovich , Geesara Prathap , Ilya Afanasyev

Visible-light cameras can capture subtle physiological biomarkers without physical contact with the subject. We present the Multi-Site Physiological Monitoring (MSPM) dataset, which is the first dataset collected to support the study of…

Computer Vision and Pattern Recognition · Computer Science 2024-02-06 Jeremy Speth , Nathan Vance , Benjamin Sporrer , Lu Niu , Patrick Flynn , Adam Czajka

We introduce a novel neural representation for maps between 3D shapes based on flow-matching models, which is computationally efficient and supports cross-representation shape matching without large-scale training or data-driven procedures.…

Computer Vision and Pattern Recognition · Computer Science 2025-11-18 Lorenzo Olearo , Giulio Viganò , Daniele Baieri , Filippo Maggioli , Simone Melzi

Blood pressure (BP) monitoring is vital in daily healthcare, especially for cardiovascular diseases. However, BP values are mainly acquired through the contact sensing method, which is inconvenient and unfriendly to continuous BP…

Image and Video Processing · Electrical Eng. & Systems 2022-06-24 Jialiang Zhuang , Bin Li , Yun Zhang , Yuheng Chen , Xiujuan Zheng

Dense 3D facial motion capture from only monocular in-the-wild pairs of RGB images is a highly challenging problem with numerous applications, ranging from facial expression recognition to facial reenactment. In this work, we propose…

Computer Vision and Pattern Recognition · Computer Science 2020-05-18 Mohammad Rami Koujan , Anastasios Roussos , Stefanos Zafeiriou

Objective: to establish an algorithmic framework and a benchmark dataset for comparing methods of pulse rate estimation using imaging photoplethysmography (iPPG). Approach: first we reveal essential steps of pulse rate estimation from…

Image and Video Processing · Electrical Eng. & Systems 2018-05-01 Anton M. Unakafov

We combine confocal imaging, microfluidics and image analysis to record 3D-images of cells in flow. This enables us to recover the full 3D representation of several hundred living cells per minute. Whereas 3D confocal imaging has thus far…

Fluid Dynamics · Physics 2017-09-19 S. Quint , A. F. Christ , A. Guckenberger , S. Himbert , L. Kaestner , S. Gekle , C. Wagner

3D gaze estimation is about predicting the line of sight of a person in 3D space. Person-independent models for the same lack precision due to anatomical differences of subjects, whereas person-specific calibrated techniques add strict…

Computer Vision and Pattern Recognition · Computer Science 2022-12-09 Neelabh Sinha , Michal Balazia , Francois Bremond

Morphology of cardiovascular tissue is influenced by the unsteady behavior of the blood flow and vice versa. Therefore, the pathogenesis of several cardiovascular diseases is directly affected by the blood-flow dynamics. Understanding flow…

Intracardiac flow patterns are shaped by the coupled motion of the cardiac chambers and heart valves and provide important information about cardiac function. However, clinical flow imaging remains limited by exam times, noise, resolution,…

Image and Video Processing · Electrical Eng. & Systems 2026-05-12 Fanwei Kong , Aaron Brown , Michael Loecher , Perry S. Choi , Lei Shi , Michael Ma , Daniel B. Ennis , Alison Marsden
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