Results 1 to 10 of about 3,111,510 (266)

Combining CNNs and Markov-like Models for Facial Landmark Detection with Spatial Consistency Estimates [PDF]

open access: yesJournal of Imaging, 2023
The accurate localization of facial landmarks is essential for several tasks, including face recognition, head pose estimation, facial region extraction, and emotion detection.
Ahmed Gdoura   +3 more
doaj   +4 more sources

Feature fusion for facial landmark detection

open access: yesPattern Recognition, 2014
Abstract Facial landmark detection is a crucial first step in facial analysis for biometrics and numerous other applications. However, it has proved to be a very challenging task due to the numerous sources of variation in 2D and 3D facial data.
Ioannis A Kakadiaris   +2 more
exaly   +4 more sources

Fast Facial Landmark Detection and Applications: A Survey

open access: yesJournal of Computer Science and Technology, 2022
Dense facial landmark detection is a key element of face processing pipeline. In this paper we survey and analyze modern neural-network-based facial landmark detection algorithms, focus on approaches that have led to a significant increase in quality ...
Kostiantyn Khabarlak, Larysa Koriashkina
doaj   +5 more sources

Facial Landmark Detection: A Literature Survey [PDF]

open access: yesInternational Journal of Computer Vision, 2018
The locations of the fiducial facial landmark points around facial components and facial contour capture the rigid and non-rigid facial deformations due to head movements and facial expressions. They are hence important for various facial analysis tasks.
Qiang Ji, Yue Wu
exaly   +3 more sources

Augmented EMTCNN: A Fast and Accurate Facial Landmark Detection Network

open access: yesApplied Sciences, 2020
Facial landmarks represent prominent feature points on the face that can be used as anchor points in many face-related tasks. So far, a lot of research has been done with the aim of achieving efficient extraction of landmarks from facial images ...
Hyeon-Woo Kim   +3 more
doaj   +3 more sources

Dilated Skip Convolution for Facial Landmark Detection. [PDF]

open access: yesSensors (Basel), 2019
Facial landmark detection has gained enormous interest for face-related applications due to its success in facial analysis tasks such as facial recognition, cartoon generation, face tracking and facial expression analysis. Many studies have been proposed and implemented to deal with the challenging problems of localizing facial landmarks from given ...
Chim S, Lee JG, Park HH.
europepmc   +5 more sources

2D Wasserstein loss for robust facial landmark detection [PDF]

open access: yesPattern Recognition, 2021
The recent performance of facial landmark detection has been significantly improved by using deep Convolutional Neural Networks (CNNs), especially the Heatmap Regression Models (HRMs). Although their performance on common benchmark datasets has reached a high level, the robustness of these models still remains a challenging problem in the practical use
Christophe Garcia   +2 more
exaly   +4 more sources

Learning Robust Shape-Indexed Features for Facial Landmark Detection

open access: yesApplied Sciences, 2022
In facial landmark detection, extracting shape-indexed features is widely applied in existing methods to impose shape constraint over landmarks. Commonly, these methods crop shape-indexed patches surrounding landmarks of a given initial shape.
Xintong Wan, Yifan Wu, Xiaoqiang Li
doaj   +3 more sources

Dog facial landmarks detection and its applications for facial analysis

open access: yesScientific Reports
Automated analysis of facial expressions is a crucial challenge in the emerging field of animal affective computing. One of the most promising approaches in this context is facial landmarks, which are well-studied for humans and are now being adopted for
George Martvel   +5 more
doaj   +3 more sources

HybridMatch: Semi-Supervised Facial Landmark Detection via Hybrid Heatmap Representations

open access: yesIEEE Access, 2023
Facial landmark detection is an essential task in face-processing techniques. Traditional methods, however, require expensive pixel-level labels. Semi-supervised facial landmark detection has been explored as an alternative, but previous approaches only ...
Seoungyoon Kang   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy