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Deep learning for face detection using matlab [PDF]
, 2020 This project report presents face detection using Convolutional Neural Network algorithm and Deep Learning combination (DCT / DL) throughout MATLAB simulation and modeling.
Slim, Salim Adnan
core
Real-Time Driver-Drowsiness Detection System Using Facial Features
IEEE Access, 2019 The face, an important part of the body, conveys a lot of information. When a driver is in a state of fatigue, the facial expressions, e.g., the frequency of blinking and yawning, are different from those in the normal state.
Wanghua Deng, Ruoxue Wu
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Families of children with cancer experience significant financial strain, even with universal healthcare. Indirect costs, such as productivity losses and non‐medical expenses, are rarely included in economic evaluations, and little is known about how effectively financial aid programmes alleviate this burden. Childhood brain tumours
Megumi Lim +8 more
wiley +1 more source
Mapping the evolution of mitochondrial complex I through structural variation
FEBS Letters, EarlyView.Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin +2 more
wiley +1 more source
EURASIP Journal on Image and Video Processing, 2008 We present a multilevel system architecture for intelligent environments equipped with omnivideo arrays. In order to gain unobtrusive human awareness, real-time 3D human tracking as well as robust video-based face detection and tracking and face ...
Huang KohsiaS, Trivedi MohanM
doaj +2 more sources
Evaluation of an eye tracking setup for studying visual attention in face-to-face conversations
Scientific Reports, 2021 Many eye tracking studies use facial stimuli presented on a display to investigate attentional processing of social stimuli. To introduce a more realistic approach that allows interaction between two real people, we evaluated a new eye tracking setup in ...
Antonia Vehlen +4 more
doaj +1 more source
Unsupervised Incremental Learning of Deep Descriptors From Video Streams
, 2017 We present a novel unsupervised method for face identity learning from video sequences. The method exploits the ResNet deep network for face detection and VGGface fc7 face descriptors together with a smart learning mechanism that exploits the temporal ...
Del Bimbo, Alberto, Pernici, Federico
core +1 more source
Seeing two faces together: preference formation in humans and rhesus macaques [PDF]
, 2014 Humans, great apes and old world monkeys show selective attention to faces depending on conspecificity, familiarity, and social status supporting the view that primates share similar face processing mechanisms.
C Michel +32 more
core +3 more sources
FEBS Letters, EarlyView.Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho +3 more
wiley +1 more source
A Robust Real-time Tracking Method of Facial Key Point [PDF]
Jisuanji gongcheng, 2018 Aiming at the requirement of robustness and real-time running of facial key point tracking in video sequence,this paper proposes a simple and effective real-time tracking method of facial key points.The optical flow method is used to track a number of ...
XU Weiwei,LI Jun
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