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Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network

Daniel Merget, Matthias Rock, Gerhard Rigoll
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition  
Our experiments demonstrate the effectiveness of our approach, outperforming several state-of-the-art methods in facial landmark detection.  ...  The kernel convolution is crucial for the convergence of the network because it smoothens the gradients and reduces overfitting.  ...  Conclusion We proposed a new network architecture for facial landmark detection via fully-convolutional heatmap regression.  ... 
doi:10.1109/cvpr.2018.00088 dblp:conf/cvpr/MergetRR18 fatcat:txttqdcblncxzidh6uu64ywwsq

Fast Facial Landmark Detection and Applications: A Survey [article]

Kostiantyn Khabarlak, Larysa Koriashkina
2021 arXiv   pre-print
In this paper we survey and analyze modern neural-network-based facial landmark detection algorithms.  ...  Besides, we cover applications and vulnerabilities of the landmark detection algorithms. Based on which, we raise problems that as we hope will lead to further algorithm improvements.  ...  They include: direct regression methods, when the model predicts , coordinates directly for each landmark; heatmap regression methods, where a 2D heatmap is built for each landmark.  ... 
arXiv:2101.10808v2 fatcat:57wjrlzuj5btvnuuqwiabtcoea

Multistage Model for Robust Face Alignment Using Deep Neural Networks [article]

Huabin Wang and Rui Cheng and Jian Zhou and Liang Tao and Hon Keung Kwan
2020 arXiv   pre-print
In this paper, a multistage model based on deep neural networks is proposed which takes advantage of spatial transformer networks, hourglass networks and exemplar-based shape constraints.  ...  rotation and scale variations, to obtain improved face bounding boxes for face alignment.  ...  These coordinate regression methods can directly detect the coordinates of landmarks and do not require post-processing operations.  ... 
arXiv:2002.01075v1 fatcat:5piulhq4xbbupae7jmvugukshy

HIH: Towards More Accurate Face Alignment via Heatmap in Heatmap [article]

Xing Lan, Qinghao Hu, Qiang Chen, Jian Xue, Jian Cheng
2022 arXiv   pre-print
To tackle this problem, we propose a novel Heatmap In Heatmap(HIH) representation and a coordinate soft-classification (CSC) method, which are seamlessly integrated into the classic hourglass network.  ...  Heatmap-based regression overcomes the lack of spatial and contextual information of direct coordinate regression, and has revolutionized the task of face alignment.  ...  INTRODUCTION Face alignment, or facial landmark detection, refers to detecting a set of predefined landmarks on the human face, which is a fundamental step for many facial tasks [1] - [3] .  ... 
arXiv:2104.03100v2 fatcat:g6oyl4r3arfgrdqfowxiokdixi

Cephalometric Landmark Regression with Convolutional Neural Networks on 3D Computed Tomography Data [article]

Dmitry Lachinov, Alexandra Getmanskaya, Vadim Turlapov
2020 arXiv   pre-print
Moreover, we perform a series of experiments with state of the art 3D convolutional neural network (CNN) based methods for keypoint regression: direct regression with CNN, heatmap regression and Softargmax  ...  In this paper, we provide a wide overview of existing approaches for cephalometric landmark regression.  ...  [29] , which combine the advantages of regression and the heat map by introducing a differentiable heatmap values transformation to the spatial point coordinates.  ... 
arXiv:2007.10052v1 fatcat:tarmvm7fb5asrd3uhoq5dpovem

KPNet: Towards Minimal Face Detector [article]

Guanglu Song, Yu Liu, Yuhang Zang, Xiaogang Wang, Biao Leng, Qingsheng Yuan
2020 arXiv   pre-print
It first predicts the facial landmarks from a low-resolution image via the well-designed fine-grained scale approximation and scale adaptive soft-argmax operator.  ...  Unlike most top-down methods for joint face detection and alignment, the proposed KPNet detects small facial keypoints instead of the whole face by in a bottom-up manner.  ...  ., coordinate regression model and heatmap regression model. The coordinate regression model directly regresses the facial landmarks from the input image.  ... 
arXiv:2003.07543v1 fatcat:llt34oskwbazhnche5bvdj2z4q

KPNet: Towards Minimal Face Detector

Guanglu Song, Yu Liu, Yuhang Zang, Xiaogang Wang, Biao Leng, Qingsheng Yuan
2020 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
It first predicts the facial landmarks from a low-resolution image via the well-designed fine-grained scale approximation and scale adaptive soft-argmax operator.  ...  In this work, we find that the appearance feature of a generic face is discriminative enough for a tiny and shallow neural network to verify from the background.  ...  ., coordinate regression model and heatmap regression model. The coordinate regression model directly regresses the facial landmarks from the input image.  ... 
doi:10.1609/aaai.v34i07.6878 fatcat:pf54lhlczzfxvm7wyku4jzjgpe

Facial Landmark Detection Using Generative Adversarial Network Combined with Autoencoder for Occlusion

Hongzhe Liu, Weicheng Zheng, Cheng Xu, Teng Liu, Min Zuo, Mariko Nakano-Miyatake
2020 Mathematical Problems in Engineering  
Benefited from the mutual cooperation of GAN-IA and deep regression networks, a robust facial landmark detection model is achieved for the occlusion problem and the performance of the model achieves obviously  ...  (GAN-IAs) and deep regression networks.  ...  the problem of facial expression lighting and occlusion for face detection. ere are also some works based on heatmap regression and have achieved promising results in facial landmark detection.  ... 
doi:10.1155/2020/4589260 fatcat:dl72cim6djgp3dhyt6es3j4xb4

Think about boundary: Fusing multi-level boundary information for landmark heatmap regression [article]

Jinheng Xie, Jun Wan, Linlin Shen, Zhihui Lai
2020 arXiv   pre-print
Therefore, we study a two-stage but end-to-end approach for exploring the relationship between the facial boundary and landmarks to get boundary-aware landmark predictions, which consists of two modules  ...  Although current face alignment algorithms have obtained pretty good performances at predicting the location of facial landmarks, huge challenges remain for faces with severe occlusion and large pose variations  ...  The approach proposes a boundary heatmap estimator for extracting the boundary information of faces and a boundary-aware landmark regressor for regressing the coordinates of facial landmarks.  ... 
arXiv:2008.10924v1 fatcat:nmq7nkgax5d5zafjz5nzjwuaxm

Deep Energies for Estimating Three-Dimensional Facial Pose and Expression [article]

Michael Bao, Jane Wu, Xinwei Yao, Ronald Fedkiw
2018 arXiv   pre-print
We propose an alternative approach whereby these curves and other keypoints are detected automatically on both the image and the synthetic renders using trained neural networks, eliminating artist subjectivity  ...  used to determine three-dimensional facial pose and expression.  ...  In addition, we would like to thank both Reza and Behzad at ONR for supporting our efforts into computer vision and machine learning, as well as Cary Phillips and Industrial Light &  ... 
arXiv:1812.02899v1 fatcat:4zleluv5yjbnlicjt5iswrambq

MobileFAN: Transferring Deep Hidden Representation for Face Alignment [article]

Yang Zhao, Yifan Liu, Chunhua Shen, Yongsheng Gao, Shengwu Xiong
2019 arXiv   pre-print
In this paper, we aim for a lightweight as well as effective solution to facial landmark detection.  ...  Facial landmark detection is a crucial prerequisite for many face analysis applications. Deep learning-based methods currently dominate the approach of addressing the facial landmark detection.  ...  By transferring the finer structural information encoded by the teacher Network, the performance of the proposed MobileFAN is further improved in effectiveness for facial landmark detection.  ... 
arXiv:1908.03839v3 fatcat:bzaskclrorbdrisvkicc2qdrae

Style Aggregated Network for Facial Landmark Detection [article]

Xuanyi Dong, Yan Yan, Wanli Ouyang, Yi Yang
2018 arXiv   pre-print
In this work, we propose a style-aggregated approach to deal with the large intrinsic variance of image styles for facial landmark detection.  ...  Recent advances in facial landmark detection achieve success by learning discriminative features from rich deformation of face shapes and poses.  ...  CNN model to learn robust heatmap for facial landmark detection [27, 57, 6, 4] .  ... 
arXiv:1803.04108v4 fatcat:uyx4cnau7zcflnpkoxlrbpenxy

Style Aggregated Network for Facial Landmark Detection

Xuanyi Dong, Yan Yan, Wanli Ouyang, Yi Yang
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition  
In this work, we propose a style-aggregated approach to deal with the large intrinsic variance of image styles for facial landmark detection.  ...  Recent advances in facial landmark detection achieve success by learning discriminative features from rich deformation of face shapes and poses.  ...  CNN model to learn robust heatmap for facial landmark detection [27, 57, 6, 4] .  ... 
doi:10.1109/cvpr.2018.00047 dblp:conf/cvpr/DongYO018 fatcat:apn3dnqam5hlrgqls4a6isfwri

The Elements of End-to-end Deep Face Recognition: A Survey of Recent Advances [article]

Hang Du, Hailin Shi, Dan Zeng, Xiao-Ping Zhang, Tao Mei
2021 arXiv   pre-print
To achieve this, a typical end-to-end system is built with three key elements: face detection, face alignment, and face representation. The face detection locates faces in the image or frame.  ...  Given a natural image or video frame as input, an end-to-end deep face recognition system outputs the face feature for recognition.  ...  [252] , RDCFace [330] 4.1.1 Coordinate regression. The coordinate regression based methods regard the landmark coordinates as the objective of the regression via neural networks.  ... 
arXiv:2009.13290v4 fatcat:vlconzbbyzee5g3s7xnbjgv3ey

Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning [article]

Jiahao Xia and Weiwei qu and Wenjian Huang and Jianguo Zhang and Xi Wang and Min Xu
2022 arXiv   pre-print
Heatmap regression methods have dominated face alignment area in recent years while they ignore the inherent relation between different landmarks.  ...  In this paper, we propose a Sparse Local Patch Transformer (SLPT) for learning the inherent relation.  ...  Coordinate Regression Method Coordinate regression methods [12, 37, 41, 42] regress the coordinates of landmarks from feature map directly via FC layers.  ... 
arXiv:2203.06541v2 fatcat:zcmhvwpkufcu5ip22qv4hwsheu
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