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Facial Landmark Localization in Depth Images Using Supervised Ridge Descent
2015
2015 IEEE International Conference on Computer Vision Workshop (ICCVW)
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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
Supervised coordinate descent method with a 3D bilinear model for face alignment and tracking
2017
Computer Animation and Virtual Worlds
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In this paper we propose an efficient and robust method for this task by introducing a novel supervised coordinate descent method (SCDM) with 3d bilinear representation. ...
Since different parameters make different contributions to the displacement of facial landmarks, our method is more discriminative to current whole-parameter cascaded regression methods. ...
Finally the trained SCDM is used for tracking face landmarks in face image sequences. A flowchart of our method is shown in Fig. 1 . ...
doi:10.1002/cav.1773
fatcat:t33zxio5hbhgzhblxs2sfj3vnq
Simultaneous multi-descent regression and feature learning for facial landmarking in depth images
2019
Neural computing & applications (Print)
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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 ...
Our method builds on recent cascaded regression-based methods to facial landmarking and uses a gating mechanism to incorporate multiple linear cascaded regression models each trained for a limited range ...
, 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
Robust facial landmark detection and tracking across poses and expressions for in-the-wild monocular video
2017
Computational Visual Media
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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
Simultaneous regression and feature learning for facial landmarking
[article]
2019
arXiv
pre-print
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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 ...
Our method builds on recent cascaded-regression-based methods to facial landmarking and uses a gating mechanism to incorporate multiple linear cascaded regression models each trained for a limited range ...
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
Accurate Facial Parts Localization and Deep Learning for 3D Facial Expression Recognition
[article]
2018
arXiv
pre-print
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Then, the facial parts of both texture map and depth map are extracted using a novel 4-stage process consists of facial landmark localization, facial rotation correction, facial resizing, facial parts ...
all existing methods under the same setting. ...
The iPar-CLR technique that is used for the landmark generation is based on the Supervised Descent Method [22] , [23] , which has been updated for parallelization and allow incremental updates when given ...
arXiv:1803.05846v1
fatcat:32ogfiwjijfq3mvxm46r2phdyq
Accurate Facial Parts Localization and Deep Learning for 3D Facial Expression Recognition
2018
2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018)
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Experiments are conducted on the BU-3DFE database, demonstrating the effectiveness of combing different facial parts, texture and depth cues and reporting the state-of-the-art results in comparison with ...
all existing methods under the same setting. ...
The iPar-CLR technique used for the landmark generation is based on the Supervised Descent Method [22] , [23] , which has been updated for parallelization and allow incremental updates when given new ...
doi:10.1109/fg.2018.00075
dblp:conf/fgr/JanDM0L18
fatcat:gzyzidk5zfdmzhsfeygl7l3ewa
Heartbeat Rate Measurement from Facial Video
2016
IEEE Intelligent Systems
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The proposed method utilizes a facial feature point tracking method by combining a 'Good feature to track' and a 'Supervised descent method' in order to overcome the limitations of currently available ...
Index Terms-Heartbeat rate, facial video, supervised descent method (SDM), good feature to track (GFT), head motion. I. ...
We then extract GFT feature points ( Fig. 1(a) ) of [11] but combine them with facial landmarks ( Fig. 1(b) ), extracted by the Supervised Descent Method (SDM) of [17] . ...
doi:10.1109/mis.2016.20
fatcat:glsqgkbttrfnhkhnduzsphhupi
Facial Landmark Detection: A Literature Survey
2018
International Journal of Computer Vision
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2018 pre-print arXiv:1805.05563v1 fatcat:inttnpcrlrfvho6d5l2q5qpdwi
We classify the facial landmark detection algorithms into three major categories: holistic methods, Constrained Local Model (CLM) methods, and the regression-based methods. ...
Finally, we identify future research directions, including combining methods in different categories to leverage their respective strengths to solve landmark detection "in-the-wild". ...
Therefore, supervised descent method is proposed to learn the descent direction with regression method. ...
doi:10.1007/s11263-018-1097-z
fatcat:ykqg6lr3j5bbrmrmli2dlrxupi
Eye gaze tracking using an RGBD camera
2014
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing Adjunct Publication - UbiComp '14 Adjunct
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We compare the performance of the proposed method against the 2D approach using only RGB input on the same images, and find that the use of depth information directly from Kinect achieves more accurate ...
However, this method has the potential for practical use with upcoming better and cheaper depth cameras. ...
The first method assumes that a Kinect is available. First, we track the 49 facial landmarks on the RGB image using a Supervised Descent Method (SDM) [10] . ...
doi:10.1145/2638728.2641694
dblp:conf/huc/XiongCLZ14
fatcat:mq4y6rpfi5cipm5qxjpqfeo2ye
Adaptive Cascade Deep Convolutional Neural Networks for face alignment
2015
Computer Standards & Interfaces
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The configuration of each network, including the selecting strategy of local patches for training and the input range of local patches, is crucial for achieving desired performance. ...
Extensive experiments demonstrate that our proposed ACDCNN achieves the state-of-the-art in accuracy, but with reduced model complexity and increased robustness. ...
[7] develop the supervised descent method (SDM) with SIFT, and implement the regression procedure in a gradient descent view. ...
doi:10.1016/j.csi.2015.06.004
fatcat:hnxml4wljbgklf3mhqhsizsdzm
Face Alignment Assisted by Head Pose Estimation
[article]
2015
arXiv
pre-print
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3D face shape (represented by 3D facial landmarks) onto 2D image under the estimated head pose; the second one searches nearest neighbour shapes from the training set according to head pose distance. ...
In this paper we propose a supervised initialization scheme for cascaded face alignment based on explicit head pose estimation. ...
We gratefully acknowledge NVIDIA for the donation of the Tesla GPU used for this research. ...
arXiv:1507.03148v2
fatcat:xg4qijzhmfarvaeritk6u2byje
Spatiotemporal analysis of RGB-D-T facial images for multimodal pain level recognition
2015
2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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While most available computer vision techniques are based on RGB, in this paper, we investigate the effect of combining RGB, depth, and thermal facial images for pain intensity level recognition. ...
For this purpose, we extract energies released by facial pixels using a spatiotemporal filter. ...
Landmarks are then located inside the facial region by using the Supervised Descent Method (SDM) [43] . ...
doi:10.1109/cvprw.2015.7301341
dblp:conf/cvpr/IraniNSCEBLMPKP15
fatcat:3jekokhcuzbsnmr3dasaez3kvq
Real-time facial expression transfer with single video camera
2016
Computer Animation and Virtual Worlds
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However, 2D image wrapping based methods suffer from depth ambiguity and specific hardware is required for depth-based methods to work. ...
Our method adapts a model to user specific facial data, computes expression variances in real time and rapidly transfers them to another target. ...
[16, 17] , Cascaded Pose Regressors [18, 19, 20] , Supervised Descent Methods [21, 22] and Deformable Part Based Models [23, 24, 25] . ...
doi:10.1002/cav.1697
fatcat:zq6ijiivlvdw7btndzbmbasv6m
Cascade of forests for face alignment
2015
IET Computer Vision
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In this paper we propose a regression forests-based cascaded method for face alignment. ...
we have utilized only the freely available public training images. ...
Instead of using the Newton's gradient descent method for optimization in the original AAM method, Xiong and De la Torre [9] proposed a supervised descent method for minimizing the non-linear least squares ...
doi:10.1049/iet-cvi.2014.0085
fatcat:orluegymqrhzpi2qhepjs3i73y
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