Results 21 to 30 of about 315,528 (331)

Expression Recognition of Multiple Faces Using a Convolution Neural Network Combining the Haar Cascade Classifier

open access: yesApplied Sciences, 2023
Facial expression serves as the primary means for humans to convey emotions and communicate social signals. In recent years, facial expression recognition has become a viable application within medical systems because of the rapid development of ...
Jui-Feng Yeh   +3 more
doaj   +1 more source

Reversible Facial Privacy Protection Method Based on “Invisible Masks” [PDF]

open access: yesJisuanji kexue
With the rapid progress of artificial intelligence and computer vision technology,facial information has been widely used in smart security,financial payment,and social media,etc.Once the collected facial information is leaked or illegally sold by ...
ZHENG Xu, HUANG Xiangjie, YANG Yang
doaj   +1 more source

Hierarchical Recognition Scheme for Human Facial Expression Recognition Systems [PDF]

open access: yesSensors, 2013
Over the last decade, human facial expressions recognition (FER) has emerged as an important research area. Several factors make FER a challenging research problem. These include varying light conditions in training and test images; need for automatic and accurate face detection before feature extraction; and high similarity among different expressions
Muhammad Hameed Siddiqi   +4 more
openaire   +3 more sources

Damage to Association Fiber Tracts Impairs Recognition of the Facial Expression of Emotion [PDF]

open access: yes, 2009
An array of cortical and subcortical structures have been implicated in the recognition of emotion from facial expressions. It remains unknown how these regions communicate as parts of a system to achieve recognition, but white matter tracts are likely ...
Adolphs, Ralph   +4 more
core   +1 more source

Facial Recognition Attendance System

open access: yes2025 3rd International Conference on Smart Systems for applications in Electrical Sciences (ICSSES)
Colleges have historically faced a great deal of difficulty with student attendance, necessitating a large time and effort investment from staff in manual tracking. Even though they are in place, the existing biometric attendance systems are not entirely automated, which causes delays in processing fingerprints, maintenance issues, and inefficiencies ...
Vikranth Rao S B   +4 more
  +4 more sources

Online Attendance with Python Face Recognition and Django Framework

open access: yesSistemasi: Jurnal Sistem Informasi, 2023
Online learning certainly requires an attendance system that is accessed anywhere with a minimum level of fraud. This research aimed to build an online attendance system using face recognition to prevent filling out online learning attendance represented
Myrna Dwi Rahmatya   +1 more
doaj   +1 more source

Face analysis using curve edge maps [PDF]

open access: yes, 2011
This paper proposes an automatic and real-time system for face analysis, usable in visual communication applications. In this approach, faces are represented with Curve Edge Maps, which are collections of polynomial segments with a convex region.
D. Cristinacce   +13 more
core   +1 more source

Age-Invariant Face Recognition Using Trigonometric Central Features

open access: yesKarbala International Journal of Modern Science, 2019
Many facial recognition systems must fail because of many influences such as lighting, changes in composition, expression and aging in the face. But the effects of facial aging are the main problem that many algorithms face with precision. Accordingly,
Ahmad Malek Bilal, Mohamad-Bassam Kurdy
doaj   +1 more source

Facial Expression Recognition From Image Sequence Based on LBP and Taylor Expansion

open access: yesIEEE Access, 2017
The aim of an automatic video-based facial expression recognition system is to detect and classify human facial expressions from image sequence. An integrated automatic system often involves two components: 1) peak expression frame detection and 2 ...
Yuanyuan Ding   +3 more
doaj   +1 more source

Automatic affective dimension recognition from naturalistic facial expressions based on wavelet filtering and PLS regression [PDF]

open access: yes, 2015
Automatic affective dimension recognition from facial expression continuously in naturalistic contexts is a very challenging research topic but very important in human-computer interaction.
Gaus, YFBA   +4 more
core   +1 more source

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