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Eye Localization Using the Discriminative Generalized Hough Transform
[chapter]
2012
Lecture Notes in Computer Science
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The Discriminative Generalized Hough Transform (DGHT) is ag eneral method for the localization of arbitrary objects with well-defined shape, which has been successfully applied in medical image processing ...
The DGHT combines the Generalized Hough Transform (GHT) with adiscriminative training procedure to generate GHT shape models with individual positive and negative model point weights. ...
This work is partly funded by the Innovation Foundation Schleswig-Holstein under the grant 2010-90H . ...
doi:10.1007/978-3-642-32717-9_16
fatcat:zv6ix3pngfbpldhw5ktsqx77we
Face alignment using local hough voting
2013
2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)
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Specifically, two or more stable facial components (e.g., eyes) are first localized and fixed as anchor points, based on which a separate local voting map is constructed for each fiducial point using kernel ...
We present a novel Hough voting-based method to improve the efficiency and accuracy of fiducial points localization, which can be conveniently integrated with any global prior model for final face alignment ...
ACKNOWLEDGMENT The work was financed by the (key) National Science Foundation of China (61073112, 61035003), and the National Science Foundation of Jiangsu Province (BK2012793). ...
doi:10.1109/fg.2013.6553729
dblp:conf/fgr/JinTZ13
fatcat:ybcgjl5z7vb3jmbaurafii5k4u
A literature survey on robust and efficient eye localization in real-life scenarios
2013
Pattern Recognition
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In addition, we organize the discussion of the global aspects of eye localization in uncontrolled environments, towards the development of a robust eye localization system. ...
Similar observations have also been made by many other authors [72, 16, 45, 89] , which urge the need for developing robust and accurate eye localization techniques in real-life scenarios. ...
Acknowledgments The authors want to thank the editors and reviewers for helpful comments and suggestions. The authors also want to thank Dr. Xin ...
doi:10.1016/j.patcog.2013.05.009
fatcat:5nk5gokktjdlxbrncpqgcplbli
Nonparametric Context Modeling of Local Appearance for Pose- and Expression-Robust Facial Landmark Localization
2014
2014 IEEE Conference on Computer Vision and Pattern Recognition
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The feature votingbased landmark detection is more robust than previous local appearance-based detectors; we combine it with nonparametric shape regularization to build a novel facial landmark localization ...
We propose a data-driven approach to facial landmark localization that models the correlations between each landmark and its surrounding appearance features. ...
Step 2: Landmark voting For each type of landmark, generate voting maps using a multi-scale and multi-rotation generalized Hough transform [14] . ...
doi:10.1109/cvpr.2014.225
dblp:conf/cvpr/SmithBL014
fatcat:jnoott2m5je2lpk65eqs4ggouy
Multiview Facial Landmark Localization in RGB-D Images via Hierarchical Regression With Binary Patterns
2014
IEEE transactions on circuits and systems for video technology (Print)
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the pose and landmark locations are iteratively optimized, which relies heavily on the initial pose estimation; due to the different characters of the RGB and depth cues, they are used for landmark localization ...
In this paper, we propose a real-time system of multiview facial landmark localization in RGB-D images. ...
The remaining object candidates are left and used for predicting the object location via Hough transform.
C. ...
doi:10.1109/tcsvt.2014.2308639
fatcat:tgolcsfjrjf3tomvl6ipxzt6p4
A Robust Framework for Real-Time Iris Landmarks Detection Using Deep Learning
2022
Applied Sciences
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This article presents a benchmark dataset and a robust framework for the localization of key landmark points to extract the iris with better accuracy. ...
We collected the images of eyes and annotated them with the help of the proposed algorithm. The generated dataset has been made publicly available for research purposes. ...
The Hough transform is an image processing approach for detecting circles in distorted images. The Hough transform technique combined with a Canny edge detector was used for pupil detection. ...
doi:10.3390/app12115700
fatcat:zxzbxoewhncazppb6pqbl4qvea
Multi-stage Combination of Geometric and Colorimetric Detectors for Eyes Localization
[chapter]
2005
Lecture Notes in Computer Science
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We present in this paper a method for the localization of the eyes in a facial image. ...
This rectangle is then processed to find the precise position of the eye, using four sources of information: a darkness measure, a circle finder, a "not skin" finder and a position information. ...
Pupil Finder We compute the classical Generalized Hough Transform for Circle (GHTC) using the intensity gradient orientation. ...
doi:10.1007/11553595_124
fatcat:k3xtymbesrcmncivrjbewbo3im
Statistically Learned Deformable Eye Models
[chapter]
2015
Lecture Notes in Computer Science
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In this paper we study the feasibility of using standard deformable model fitting techniques to accurately track the deformation and motion of the human eye. ...
performance of the previous techniques on the problem of eye alignment. ...
The work of Stefanos Zafeiriou was partially funded by the EPSRC project EP/J017787/1 (4DFAB). ...
doi:10.1007/978-3-319-16178-5_19
fatcat:5cxhl3rm6bbgjbfb3z3mu7qamq
A Mini-review of Face Alignment - Classical Method versus Deep Learning Approach
2021
International Journal of Electrical & Electronic Systems Research (IEESR)
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Numerous classic methods have used the 2D image for the detection of facial landmarks but this task is challenging due to several reasons, for instance, large poses, semi-frontal images, and facial expression ...
Based on the review done, the 3D model could combat large poses, facial expressions, and semi-frontal images however some of the facial landmarks are not visible and stack together for occluded face images ...
A generative approach is an approach that uses image local patches at the annotated facial landmark points. ...
doi:10.24191/jeesr.v19i1.002
fatcat:r3h6glo33ffq3jqtmldghin4a4
Detecting and Aligning Faces by Image Retrieval
2013
2013 IEEE Conference on Computer Vision and Pattern Recognition
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We further propose to use image retrieval for face validation (in order to remove false positives) and for face alignment/landmark localization. ...
A large database of faces with bounding rectangles and facial landmark locations is collected, and simple discriminative classifiers are learned from each of them. ...
We localize each landmark using a modified version of our voting scheme in face detection, and generate voting maps for each landmark separately. ...
doi:10.1109/cvpr.2013.444
dblp:conf/cvpr/ShenLBW13
fatcat:a2xibqmhfvbs5jbkionf27yt5m
Accurate Landmarking of Three-Dimensional Facial Data in the Presence of Facial Expressions and Occlusions Using a Three-Dimensional Statistical Facial Feature Model
2011
IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
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In this paper, we propose a general learning-based framework for reliable landmark localization on 3-D facial data under challenging conditions (i.e., facial expressions and occlusions). ...
Three-dimensional face landmarking aims at automatically localizing facial landmarks and has a wide range of applications (e.g., face recognition, face tracking, and facial expression analysis). ...
ACKNOWLEDGMENT The authors would like to thank the anonymous reviewers for their comments which greatly contributed to the improvement of this paper. ...
doi:10.1109/tsmcb.2011.2148711
pmid:21622076
fatcat:o7jizii3ubgelmgg6xtvuhuvli
Face Alignment In-the-Wild: A Survey
[article]
2016
arXiv
pre-print
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Furthermore, we organize special discussions on the practical aspects of face alignment in-the-wild, towards the development of a robust face alignment system. ...
Over the last two decades, face alignment or localizing fiducial facial points has received increasing attention owing to its comprehensive applications in automatic face analysis. ...
Acknowledgment This work is partially supported by National Science Foundation of China (61373060), Qing Lan Project, and the Funding of Jiangsu Innovation Program for Graduate Education (KYLX 0289). ...
arXiv:1608.04188v1
fatcat:jttse4u6fbbtrfakuitje5pbhi
Efficient quantitative assessment of facial paralysis using iris segmentation and active contour-based key points detection with hybrid classifier
2016
BMC Medical Imaging
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A method combining the optimized Daugman's algorithm and Localized Active Contour (LAC) model is proposed to efficiently extract the iris and facial landmark or key points. ...
Specifically, a novel method of quantitative assessment is presented: an algorithm that extracts the human iris and detects facial landmarks; and a hybrid approach combining the rule-based and machine ...
for International Education (NIIED), Ministry of Education, South Korea. ...
doi:10.1186/s12880-016-0117-0
pmid:26968938
pmcid:PMC4788850
fatcat:of7hp6nwo5fbdbo5okyvz2wpli
Glasses detection on real images based on robust alignment
2015
Machine Vision and Applications
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Thirdly, Robust Local Binary Pattern is built to describe the eyes region, and finally, support vector machine is used to classify the LBP features. ...
In this paper, an innovative algorithm for automatic glasses detection based on Robust Local Binary Pattern and robust alignment is proposed. ...
Acknowledgments Authors are grateful to anonymous reviewers for constructive feedback and insightful suggestions that greatly improved this article. ...
doi:10.1007/s00138-015-0674-1
fatcat:fpmujlaspvhcrjk55wncttavvi
A review of motion analysis methods for human Nonverbal Communication Computing
2013
Image and Vision Computing
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As one of the most active research areas in computer vision, human motion analysis has become a widely-used tool in this area. ...
This knowledge is also useful to develop models of the deficits of specific populations, such as autistic children, and interventions that bring them into fuller participation in communities. ...
Acknowledgments The authors would like to thank all the reviewers for their constructive suggestions. ...
doi:10.1016/j.imavis.2013.03.005
fatcat:ylxt5bph2jfgrfd5a4c22qn66u
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