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A deep facial landmarks detection with facial contour and facial components constraint

2016 IEEE International Conference on Image Processing (ICIP), 2016
In this paper, we propose a new facial landmarks detection method based on deep learning with facial contour and facial components constraints. The proposed deep convolutional neural networks (DCNNs) for facial landmark detection consists of two deep networks: one DCNN is to detect landmarks constrained on the facial contour and the other is to detect ...
Wissam J. Baddar   +4 more
openaire   +1 more source

3D Facial Landmark Detection Techniques: A Survey

2024 7th International Conference on Electronics and Electrical Engineering Technology (EEET)
Niu Pingjuan
exaly   +2 more sources

Facial Landmark Detection via Progressive Initialization

2015 IEEE International Conference on Computer Vision Workshop (ICCVW), 2015
In this paper, we present a multi-stage regression-based approach for the 300 Videos in-the-Wild (300-VW) Challenge, which progressively initializes the shape from obvious landmarks with strong semantic meanings, e.g. eyes and mouth corners, to landmarks on face contour, eyebrows and nose bridge which have more challenging features.
Shengtao Xiao   +2 more
openaire   +1 more source

Facial Landmark and Mask Detection System

Advances in Science and Technology, 2023
COVID-19 commonly known as Coronavirus is caused by the virus SARS-CoV-2. This pandemic can be prevented by wearing a face mask after taking the vaccines that have arrived in the market, A vast trial led by researchers at Yale University and Stanford Medicine came up with the conclusion that if a person’s mouth and nose is covered by a face mask they ...
Nandila Bhattacharjee   +2 more
openaire   +1 more source

Pose invariant facial component-landmark detection

2011 18th IEEE International Conference on Image Processing, 2011
Facial landmark detection has proved to be a very challenging task in biometrics due to the numerous sources of variation. In this work, we present an algorithm for robust detection of facial component-landmarks. Specifically, we address the variation due to extreme pose and illumination.
Boris A. Efraty   +4 more
openaire   +1 more source

Facial Landmark Detection Under Large Pose

2018
Facial landmark detection is a necessary step in many vision tasks and plenty of excellent methods have been proposed to solve this problem. However, for the conditions with large pose and complex expression, these works usually suffer an eclipse. In this paper, we propose a two-stage cascade regression framework using patch-difference features to ...
Yangyang Hao   +4 more
openaire   +1 more source

Automated facial landmark detection, comparison and visualization

Proceedings of the 31st Spring Conference on Computer Graphics, 2015
Anthropometric facial landmarks and their detection has wide application in anthropology and forensic science. More specifically, these landmarks play an important role in facial comparison, in the analysis of morphological changes during human growth and in searching for the variability of human faces (e.g., sexual dimorphism).
Marek Galvánek   +3 more
openaire   +1 more source

Recurrent neural network for facial landmark detection

Neurocomputing, 2017
Facial landmark detection is an important issue in many computer vision applications about faces. It is very challenging as human faces in wild conditions often present large variations in shape due to different poses, occlusions or expressions. Deep neural networks have been applied to learn the map from face images to face shapes.
Yu Chen 0037   +2 more
openaire   +1 more source

Image Enhancement for Facial Landmark Detection

2022 21st RoEduNet Conference: Networking in Education and Research (RoEduNet), 2022
Victor Ciuntu   +5 more
openaire   +1 more source

Facial Landmark Detection

2022
Noor, Alaa   +2 more
openaire   +1 more source

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