Results 31 to 40 of about 838,539 (290)

Event-Based Face Detection and Tracking Using the Dynamics of Eye Blinks

Frontiers in Neuroscience, 2020
We present the first purely event-based method for face detection using the high temporal resolution properties of an event-based camera to detect the presence of a face in a scene using eye blinks.
Gregor Lenz, Gregor Lenz, Sio-Hoi Ieng, Sio-Hoi Ieng, Ryad Benosman, Ryad Benosman, Ryad Benosman, Ryad Benosman   +7 more
doaj   +1 more source

Historical Blurry Video-Based Face Recognition

Journal of Imaging
Face recognition is a widely used computer vision, which plays an increasingly important role in user authentication systems, security systems, and consumer electronics.
Lujun Zhai, Suxia Cui, Yonghui Wang, Song Wang, Jun Zhou, Greg Wilsbacher   +5 more
doaj   +1 more source

3D Face Tracking Using Stereo Cameras: A Review

IEEE Access, 2020
This review considers previous research, regarding the background and applications of 3D face-tracking systems with a focus on stereo camera-based systems.
Faleh Alqahtani, Jasmine Banks, Vinod Chandran, Jinglan Zhang   +3 more
doaj   +1 more source

Classification of Children With Autism and Typical Development Using Eye-Tracking Data From Face-to-Face Conversations: Machine Learning Model Development and Performance Evaluation

Journal of Medical Internet Research, 2021
BackgroundPrevious studies have shown promising results in identifying individuals with autism spectrum disorder (ASD) by applying machine learning (ML) to eye-tracking data collected while participants viewed varying images (ie ...
Zhong Zhao, Haiming Tang, Xiaobin Zhang, Xingda Qu, Xinyao Hu, Jianping Lu   +5 more
doaj   +1 more source

MobiFace: A Novel Dataset for Mobile Face Tracking in the Wild

, 2019
Face tracking serves as the crucial initial step in mobile applications trying to analyse target faces over time in mobile settings. However, this problem has received little attention, mainly due to the scarcity of dedicated face tracking benchmarks. In
Cheng, Shiyang, Lin, Yiming, Pantic, Maja, Shen, Jie   +3 more
core   +1 more source

Fast Face Tracking-by-Detection Algorithm for Secure Monitoring

Applied Sciences, 2019
This work proposes a fast face tracking-by-detection (FFTD) algorithm that can perform tracking, face detection and discrimination tasks. On the basis of using the kernelized correlation filter (KCF) as the basic tracker, multitask cascade convolutional ...
Jia Su, Lihui Gao, Wei Li, Yu Xia, Ning Cao, Ruichao Wang   +5 more
doaj   +1 more source

Markerless 3D Face Tracking [PDF]

, 2009
We present a novel algorithm for the markerless tracking of deforming surfaces such as faces. We acquire a sequence of 3D scans along with color images at 40Hz. The data is then represented by implicit surface and color functions, using a novel partition-of-unity type method of efficiently combining local regressors using nearest neighbor searches ...
Walder, C., Breidt, M., Bülthoff, H., Schölkopf, B., Curio, C.   +4 more
openaire   +3 more sources

Robust facial landmark detection and tracking across poses and expressions for in-the-wild monocular video

Computational Visual Media, 2017
We present a novel approach for automatically detecting and tracking facial landmarks across poses and expressions from in-the-wild monocular video data, e.g., YouTube videos and smartphone recordings.
Shuang Liu, Yongqiang Zhang, Xiaosong Yang, Daming Shi, Jian J. Zhang   +4 more
doaj   +1 more source

Real-Time Facial Motion Capture Using a Webcam

Communications, 2016
In this paper, we create a software which would be able to combine marker and marker-less face tracking for the purpose of the creation of the accurate and real time running 3D facial animation inside the Cinema 4D. The aim is develop a powerful piece of
Peter Kajan, Patrik Kamencay, Jan Hlubik, Robert Hudec, Miroslav Benco, Peter Sykora   +5 more
doaj   +1 more source

Memory Based Online Learning of Deep Representations from Video Streams

, 2017
We present a novel online unsupervised method for face identity learning from video streams. The method exploits deep face descriptors together with a memory based learning mechanism that takes advantage of the temporal coherence of visual data ...
Bartoli, Federico, Bruni, Matteo, Del Bimbo, Alberto, Pernici, Federico   +3 more
core   +1 more source