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Facial Landmark Localization in Depth Images Using Supervised Ridge Descent

Necati Cihan Camgoz, Vitomir truc, Berk Gokberk, Lale Akarun, Ahmet Alp Kindiroglu
2015 2015 IEEE International Conference on Computer Vision Workshop (ICCVW)  
Recent studies which used SDM, achieved state of the-art performance on facial landmark localization in depth images [4] .  ...  We apply the proposed method to facial landmark localization on the Bosphorus 3D Face Database; using frontal depth images with no occlusion.  ...  [4] achieved state of the art performance on facial landmark localization in 3D depth images using SDM.  ... 
doi:10.1109/iccvw.2015.57 dblp:conf/iccvw/CamgozSGAK15 fatcat:vboldyslfbb5hkt6egvkgo2lya

Simultaneous multi-descent regression and feature learning for facial landmarking in depth images

Janez Križaj, Peter Peer, Vitomir Štruc, Simon Dobrišek
2019 Neural computing & applications (Print)  
We develop two distinct approaches around the proposed gating mechanism: (1) the first uses a gated multiple ridge descent mechanism in conjunction with established (hand-crafted) histogram of gradients  ...  To address this issue, we propose in this paper a novel method for automatic facial landmark localization in 3D face data designed specifically to address appearance variability caused by significant pose  ...  , and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.  ... 
doi:10.1007/s00521-019-04529-7 fatcat:z4iybvoxdfgzbd3r5oyjrmz7vu

Simultaneous regression and feature learning for facial landmarking [article]

Janez Križaj and Peter Peer and Vitomir Štruc and Simon Dobrišek
2019 arXiv   pre-print
We develop two distinct approaches around the proposed gating mechanism: i) the first uses a gated multiple ridge descent (GRID) mechanism in conjunction with established (hand-crafted) HOG features for  ...  To address this issue, we propose in this paper a novel method for automatic facial landmark localization in 3D face data designed specifically to address appearance variability caused by significant pose  ...  While different regression models and feature representation have been proposed in the literature for facial landmarking, we built GRID around the Supervised Descent Method (SDM) from [44] that has not  ... 
arXiv:1904.10787v1 fatcat:qvermsl7avheppnr5an6z3acty

Robust facial landmark detection and tracking across poses and expressions for in-the-wild monocular video

Shuang Liu, Yongqiang Zhang, Xiaosong Yang, Daming Shi, Jian J. Zhang
2017 Computational Visual Media  
Firstly, we propose a method of robust 2D facial landmark detection across poses, by combining shape-face canonical-correlation analysis with a global supervised descent method.  ...  On one side, we employ an in-the-wild method to extract the coarse reconstruction result and its corresponding texture using the detected sparse facial landmarks, followed by robust pose, expression, and  ...  First, we use a robust 2D facial landmark detection method which combines canonical correlation analysis (CCA) with a global supervised descent method (SDM).  ... 
doi:10.1007/s41095-016-0068-y fatcat:d2qjkwonsvdtlkxbk5bzd6ud4y

Face Alignment via Multi-Regressors Collaborative Optimization

Caifeng Liu, Lin Feng, Huibing Wang, Bin Wu
2019 IEEE Access  
Face alignment is a fundamental step in facial image analysis.  ...  The foundation of our method is the cascaded regression (CR) that has recently established itself as one of the most practical and effective frameworks for localizing the facial landmarks.  ...  In contrast to discriminative fitting-based methods, regression-based methods seek to learn a regression function which directly maps the appearance of an image to the facial landmark localizations.  ... 
doi:10.1109/access.2018.2888643 fatcat:fzahpewmfvdydbzydr3hhvzdey

Shape driven kernel adaptation in Convolutional Neural Network for robust facial trait recognition

Shaoxin Li, Junliang Xing, Zhiheng Niu, Shiguang Shan, Shuicheng Yan
2015 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
In this paper, we explore how the shape information, i.e. facial landmark positions, can be explicitly deployed into the popular Convolutional Neural Network (CNN) architecture to disentangle such irrelevant  ...  First, instead of using fixed kernels, we propose a kernel adaptation method to dynamically determine the convolutional kernels according to the spatial distribution of facial landmarks, which helps learning  ...  Supervised Descent Method (SDM) introduced in [33] , to conduct the facial landmark detection.  ... 
doi:10.1109/cvpr.2015.7298618 dblp:conf/cvpr/LiXNSY15 fatcat:2ui7qsf5xzdjpk7s6ernesqnre

Random Cascaded-Regression Copse for Robust Facial Landmark Detection

Zhen-Hua Feng, Patrik Huber, Josef Kittler, William Christmas, Xiao-Jun Wu
2015 IEEE Signal Processing Letters  
In this paper, we present a random cascadedregression copse (R-CR-C) for robust facial landmark detection.  ...  Index Terms-Facial landmark detection, cascaded regression, adaptive shape update.  ...  Fig. 2 . 2 CR-based facial landmark detection. Fig. 3 . 3 Local patches as well as the shape updates between two facial images can be very different due to the scale variations.  ... 
doi:10.1109/lsp.2014.2347011 fatcat:ljea6vmg4raelkied5a2ez7ali

Face alignment using cascade Gaussian process regression trees

Donghoon Lee, Hyunsin Park, Chang D. Yoo
2015 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
In this paper, we propose a face alignment method that uses cascade Gaussian process regression trees (cG-PRT) constructed by combining Gaussian process regression trees (GPRT) in a cascade stage-wise  ...  Features for GPRT are designed using shapeindexed difference of Gaussian (DoG) filter responses sampled from local retinal patterns to increase stability and to attain robustness against geometric variances  ...  The second method also samples the local pixel locations in randomly and learns the split functions to fit the single facial landmark errors using the local regions around the landmark (RND+LOCAL).  ... 
doi:10.1109/cvpr.2015.7299048 dblp:conf/cvpr/LeePY15 fatcat:5kwxhmvgardqblurdtbnh4l2tm

Efficient Branching Cascaded Regression for Face Alignment under Significant Head Rotation [article]

Brandon M. Smith, Charles R. Dyer
2016 arXiv   pre-print
We propose to learn task-specific feature mapping functions that are adaptive to landmark visibility, and that use SPDM parameters as regression targets instead of 2D landmark coordinates.  ...  Within the BCR framework, we model and infer pose-related landmark visibility and face shape simultaneously using Structured Point Distribution Models (SPDMs).  ...  In [27] , they used regression random forests [3, 11] to induce local binary features that predict landmark updates.  ... 
arXiv:1611.01584v2 fatcat:pd2xqylokzbnzmpzbd63r5i4u4

Facial Feature Point Detection: A Comprehensive Survey [article]

Nannan Wang, Xinbo Gao, Dacheng Tao, Xuelong Li
2014 arXiv   pre-print
Regression-based methods directly learn a mapping function from facial image appearance to facial feature points.  ...  A comparative illustration and analysis of representative methods provide us a holistic understanding and deep insight into facial feature point detection, which also motivates us to explore promising  ...  Facial feature point detection (FFPD) refers to a supervised or semi-supervised process using abundant manually labeled images.  ... 
arXiv:1410.1037v1 fatcat:ye2nza4tabdehpk6rr62cvwute

Automatic 3D modelling of craniofacial form [article]

Nick Pears, Christian Duncan
2016 arXiv   pre-print
facial landmarking using supervised machine learning, global and local symmetry plane detection using a variant of trimmed iterative closest points, locally-affine template warping (for full 3D models  ...  We present a new method of automatically building both sagittal profile models and full 3D surface models of the human head using a range of techniques in 3D surface image analysis; in particular, automatic  ...  This motivated us to find the facial contour using local symmetry considerations.  ... 
arXiv:1601.05593v1 fatcat:snumbl2yhnbzxbxgqi3vtzpsxm

Fast, Dense Feature SDM on an iPhone [article]

Ashton Fagg, Simon Lucey, Sridha Sridharan
2016 arXiv   pre-print
In this paper, we present our method for enabling dense SDM to run at over 90 FPS on a mobile device. Our contributions are two-fold.  ...  Binary Approximated SIFT (BASIFT) features, which are a computationally efficient approximation to SIFT, a commonly used feature with SDM.  ...  INTRODUCTION Xiong & De la Torre [29] proposed an approach to object & image alignment known as the Supervised Descent Method (SDM).  ... 
arXiv:1612.05332v1 fatcat:ftnerz57ineyxmeezbf4kszdoa

Deep Alignment Network: A Convolutional Neural Network for Robust Face Alignment

Marek Kowalski, Jacek Naruniec, Tomasz Trzcinski
2017 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
Our method uses entire face images at all stages, contrary to the recently proposed face alignment methods that rely on local patches.  ...  The use of entire face images rather than patches allows DAN to handle face images with large variation in head pose and difficult initializations.  ...  We thank NVIDIA for donating a Titan X Pascal GPU which was used to train the proposed neural network.  ... 
doi:10.1109/cvprw.2017.254 dblp:conf/cvpr/KowalskiNT17 fatcat:ntjxgycdvvb53fi4ubffjqhga4

Deep Alignment Network: A convolutional neural network for robust face alignment [article]

Marek Kowalski, Jacek Naruniec, Tomasz Trzcinski
2017 arXiv   pre-print
Our method uses entire face images at all stages, contrary to the recently proposed face alignment methods that rely on local patches.  ...  The use of entire face images rather than patches allows DAN to handle face images with large variation in head pose and difficult initializations.  ...  We thank NVIDIA for donating a Titan X Pascal GPU which was used to train the proposed neural network.  ... 
arXiv:1706.01789v2 fatcat:wzrbqsxb2veatjjnrtpyq2nfti

Cascaded face alignment via intimacy definition feature

Hailiang Li, Kin-Man Lam, Man-Yau Chiu, Kangheng Wu, Zhibin Lei
2017 Journal of Electronic Imaging (JEI)  
In this paper, we present a random-forest based fast cascaded regression model for face alignment, via a novel local feature.  ...  Our proposed local lightweight feature, namely intimacy definition feature (IDF), is more discriminative than landmark pose-indexed feature, more efficient than histogram of oriented gradients (HOG) feature  ...  Based on these feature points, a model can then be learned from a large number of landmark-labeled face images, used for facial-shape estimation for unseen face images.  ... 
doi:10.1117/1.jei.26.5.053024 fatcat:u5sy4ttombgorko5wcaknvi4be
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