Results 11 to 20 of about 377,497 (282)

A Statistical Approach to Facial Identification [PDF]

open access: yes, 2009
This thesis describes the development of statistical methods for facial identification. The objective is to provide a technique which can provide answers based on probabilities to the question of whether two images of a face are from the same person or ...
Morecroft, L.C.
core   +7 more sources

Design of a Facial Landmark Detection System Using a Dynamic Optical Flow Approach

open access: yesIEEE Access, 2021
Many facial landmark methods based on convolutional neural networks (CNN) have been proposed to achieve favorable detection results. However, the instability landmarks that occur in video frames due to CNNs are extremely sensitive to input image noise ...
Bing-Fei Wu, Bo-Rui Chen, Chun-Fei Hsu
doaj   +1 more source

Detecting Facial Landmarks on 3D Models Based on Geometric Properties—A Review of Algorithms, Enhancements, Additions and Open-Source Implementations

open access: yesIEEE Access, 2023
Facial landmark detection, a crucial aspect of face recognition, is widely used in various fields, such as facial surgeries, biometrics, and surveillance systems.
Oguzhan Topsakal   +4 more
doaj   +1 more source

The Average Facial Expressions: A Range of Motion Analysis for Different Sex and Age Groups

open access: yesPlastic and Reconstructive Surgery, Global Open, 2023
Background:. Facial expressions are ubiquitous in communication. Therefore, assessment of mimic function is essential in facial surgery, but no reference standards are currently available.
Hilde Schutte, MD   +5 more
doaj   +1 more source

Detecting Facial Region and Landmarks at Once via Deep Network

open access: yesSensors, 2021
For accurate and fast detection of facial landmarks, we propose a new facial landmark detection method. Previous facial landmark detection models generally perform a face detection step before landmark detection.
Taehyung Kim, Jiwon Mok, Euichul Lee
doaj   +1 more source

Region-Aware Deep Feature-Fused Network for Robust Facial Landmark Localization

open access: yesMathematics, 2023
In facial landmark localization, facial region initialization usually plays an important role in guiding the model to learn critical face features.
Xuxin Lin, Yanyan Liang
doaj   +1 more source

EYE ASPECT RATIO ADJUSTMENT DETECTION FOR STRONG BLINKING SLEEPINESS BASED ON FACIAL LANDMARKS WITH EYE-BLINK DATASET

open access: yesZero: Jurnal Sains, Matematika, dan Terapan, 2023
Blink detection is an important technique in a variety of settings, including facial motion analysis and signal processing.  However, automatic blink detection is challenging due to its blink rate. This paper proposes a real-time method for detecting eye
Eswin Syahputra   +4 more
doaj   +1 more source

Automatic Quantification of Facial Asymmetry Using Facial Landmarks [PDF]

open access: yes2019 IEEE Western New York Image and Signal Processing Workshop (WNYISPW), 2019
One-sided facial paralysis causes uneven movements of facial muscles on the sides of the face. Physicians currently assess facial asymmetry in a subjective manner based on their clinical experience. This paper proposes a novel method to provide an objective and quantitative asymmetry score for frontal faces.
Abu Md Niamul Taufique   +2 more
openaire   +2 more sources

Implementasi Kombinasi Metode Mean Denoising dan Convolutional Neural Network pada Facial Landmark Detection

open access: yesJurnal Nasional Pendidikan Teknik Informatika (JANAPATI), 2021
Facial landmark detectionmerupakan bagian dari facial recognition,bertujuan untuk mengidentifikasi titik fokus pada wajah berdasarkan ciri penampakan bagian wajah yang cenderung menonjol, seperti area mata, hidung, bibir, serta tulang pipi.
I Putu Agus Eka Darma Udayana   +1 more
doaj   +1 more source

Comparison Study of Extraction Accuracy of 3D Facial Anatomical Landmarks Based on Non-Rigid Registration of Face Template

open access: yesDiagnostics, 2023
(1) Background: Three-dimensional (3D) facial anatomical landmarks are the premise and foundation of facial morphology analysis. At present, there is no ideal automatic determination method for 3D facial anatomical landmarks.
Aonan Wen   +7 more
doaj   +1 more source

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