Results 31 to 40 of about 3,111,510 (266)

A survey of deep facial landmark detection

, 2018
International audienceFacial landmark detection plays a very important role in many facial analysis applications such as identity recognition, facial expression analysis, facial animation, 3D face reconstruction as well as facial beautification. With the
Duffner, Stefan, Naturel, Xavier, Blanc, Christophe, Garcia, Christophe, Yan, Yongzhe, Chateau, Thierry   +5 more
core   +7 more sources

Robust facial landmark detection based on initializing multiple poses

International Journal of Advanced Robotic Systems, 2016
For robot systems, robust facial landmark detection is the first and critical step for face-based human identification and facial expression recognition.
Xin Chai, Qisong Wang, Yongping Zhao, Yongqiang Li   +3 more
doaj   +1 more source

Style Aggregated Network for Facial Landmark Detection [PDF]

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018
Accepted to CVPR ...
Xuanyi Dong, Yan Yan 0006, Wanli Ouyang, Yi Yang 0001   +3 more
openaire   +4 more sources

Compensating inaccurate annotations to train 3D facial landmark localisation models [PDF]

, 2013
In this paper we investigate the impact of inconsistency in manual annotations when they are used to train automatic models for 3D facial landmark localization. We start by showing that it is possible to objectively measure the consistency of annotations
Sukno, Federico M., Waddington, John L., Whelan, Paul F.   +2 more
core   +2 more sources

Facial Component-Landmark Detection With Weakly-Supervised LR-CNN

IEEE Access, 2019
In this paper, we propose a weakly supervised landmark-region-based convolutional neural network (LR-CNN) framework to detect facial component and landmark simultaneously.
Ruiheng Zhang, Chengpo Mu, Min Xu, Lixin Xu, Xiaofeng Xu   +4 more
doaj   +1 more source

A Monte Carlo strategy to integrate detection and model-based face analysis [PDF]

, 2013
We present a novel probabilistic approach for tting a statistical model to an image. A 3D Morphable Model (3DMM) of faces is interpreted as a generative (Top-Down) Bayesian model.
Vetter, Thomas, Thomas Vetter, Schönborn, Sandro, Sandro Schönborn, Andreas Forster, Egger, Bernhard, Bernhard Egger, Forster, Andreas   +7 more
core   +1 more source

RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection

, 2022
This paper presents a Refinement Pyramid Transformer (RePFormer) for robust facial landmark detection. Most facial landmark detectors focus on learning representative image features.
Pheng-Ann Heng, Heng, Pheng Ann, Shao, Ling, Li, Jinpeng, Jin, Haibo, Shengcai Liao, Haibo Jin, Ling Shao, Liao, Shengcai, Jinpeng Li   +9 more
core   +2 more sources

Evaluating effects of focal length and viewing angle in a comparison of recent face landmark and alignment methods

EURASIP Journal on Image and Video Processing, 2021
Recent attention to facial alignment and landmark detection methods, particularly with application of deep convolutional neural networks, have yielded notable improvements.
Xiang Li, Jianzheng Liu, Jessica Baron, Khoa Luu, Eric Patterson   +4 more
doaj   +1 more source

Automatic facial analysis for objective assessment of facial paralysis [PDF]

, 2009
Facial Paralysis is a condition causing decreased movement on one side of the face. A quantitative, objective and reliable assessment system would be an invaluable tool for clinicians treating patients with this condition. This paper presents an approach
McGrenary, Stewart, Soraghan, J.J., He, Shu, O'Reilly, Brian   +3 more
core   +3 more sources

Failure Detection for Facial Landmark Detectors

CoRR, 2016
Most face applications depend heavily on the accuracy of the face and facial landmarks detectors employed. Prediction of attributes such as gender, age, and identity usually completely fail when the faces are badly aligned due to inaccurate facial landmark detection.
Andreas Steger, Radu Timofte, Luc Van Gool   +2 more
openaire   +3 more sources