Results 241 to 250 of about 3,111,510 (266)

Facial landmark detection in uncontrolled conditions

2011 International Joint Conference on Biometrics (IJCB), 2011
Facial landmark detection is a fundamental step for many tasks in computer vision such as expression recognition and face alignment. In this paper, we focus on the detection of landmarks under realistic scenarios that include pose, illumination and expression challenges as well as blur and low-resolution input.
Boris A. Efraty, Chengwei Huang, Shishir K. Shah, Ioannis A. Kakadiaris   +3 more
openaire   +2 more sources

Data Augmented Network for Facial Landmark Detection

2021 The 5th International Conference on Compute and Data Analysis, 2021
Facial landmark detection objects to locate some predefined points on human face images. Compared with previous method, the accuracy of facial landmark detection has a great improvement. However, there are still many problems need to be solved in the field of facial landmark detection, such as the impact of environment (extreme pose, occlusion ...
Yajie Zhang, Sijie Lu
openaire   +2 more sources

Facial landmark configuration for improved detection

2012 IEEE International Workshop on Information Forensics and Security (WIFS), 2012
In this paper, we present two methods to improve the performance of landmark detection algorithms that are designed to detect individual landmarks. We focus on the landmark configuration module that takes the output of the individual landmark detectors and searches for a configuration of optimal landmark locations based on appropriate shape constraints.
Chengwei Huang, Boris A. Efraty, Uday Kurkure, Manos Papadakis, Shishir K. Shah, Ioannis A. Kakadiaris   +5 more
openaire   +2 more sources

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, Jisoo Son, Dae Hoe Kim, Seong-Tae Kim 0001, Yong Man Ro   +4 more
openaire   +2 more sources

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, Jian Yang 0003, Jianjun Qian   +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, Manos Papadakis, Adam Profitt, Shishir K. Shah, Ioannis A. Kakadiaris   +4 more
openaire   +2 more sources

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, Katarína Furmanová, Igor Chalas, Jirí Sochor   +3 more
openaire   +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, Shuicheng Yan, Ashraf A. Kassim   +2 more
openaire   +2 more sources

Image Enhancement for Facial Landmark Detection

2022 21st RoEduNet Conference: Networking in Education and Research (RoEduNet), 2022
Victor Ciuntu, Traian Chiornita, Costin-Anton Boiangiu, Nicolae Tarba, Mihai-Lucian Voncila, Daniel Rosner   +5 more
openaire   +2 more sources

Towards Unconstrained Facial Landmark Detection Robust to Diverse Cropping Manners

IEEE Transactions on Circuits and Systems for Video Technology, 2021
Xu Zou, Luxin Yan, Zhong Sheng
exaly