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Eye Localization Using the Discriminative Generalized Hough Transform [chapter]

Ferdinand Hahmann, Heike Ruppertshofen, Gordon Böer, Ralf Stannarius, Hauke Schramm
2012 Lecture Notes in Computer Science  
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

Xin Jin, Xiaoyang Tan, Liang Zhou
2013 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)  
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

Fengyi Song, Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou
2013 Pattern Recognition  
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

Brandon M. Smith, Jonathan Brandt, Zhe Lin, Li Zhang
2014 2014 IEEE Conference on Computer Vision and Pattern Recognition  
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

Zhanpeng Zhang, Wei Zhang, Jianzhuang Liu, Xiaoou Tang
2014 IEEE transactions on circuits and systems for video technology (Print)  
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

Muhammad Adnan, Muhammad Sardaraz, Muhammad Tahir, Muhammad Najam Dar, Mona Alduailij, Mai Alduailij
2022 Applied Sciences  
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]

Maurice Milgram, Rachid Belaroussi, Lionel Prevost
2005 Lecture Notes in Computer Science  
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]

Joan Alabort-i-Medina, Bingqing Qu, Stefanos Zafeiriou
2015 Lecture Notes in Computer Science  
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

Nabilah Hamzah, Fadhlan Hafizhelmi Kamaru Zaman, Nooritawati Md Tahir
2021 International Journal of Electrical & Electronic Systems Research (IEESR)  
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

Xiaohui Shen, Zhe Lin, Jonathan Brandt, Ying Wu
2013 2013 IEEE Conference on Computer Vision and Pattern Recognition  
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

Xi Zhao, E. Dellandrea, Liming Chen, I. A. Kakadiaris
2011 IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)  
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]

Xin Jin, Xiaoyang Tan
2016 arXiv   pre-print
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

Jocelyn Barbosa, Kyubum Lee, Sunwon Lee, Bilal Lodhi, Jae-Gu Cho, Woo-Keun Seo, Jaewoo Kang
2016 BMC Medical Imaging  
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

Alberto Fernández, Rodrigo García, Rubén Usamentiaga, Rubén Casado
2015 Machine Vision and Applications  
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

Dimitris Metaxas, Shaoting Zhang
2013 Image and Vision Computing  
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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