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Context constrained facial landmark localization based on discontinuous Haar-like feature

Xiaowei Zhao, Xiujuan Chai, Zhiheng Niu, Cherkeng Heng, Shiguang Shan
2011 Face and Gesture 2011  
This paper proposes a novel facial landmark localization method, which introduces facial context constrains into cascaded AdaBoost framework.  ...  Through Real AdaBoost learning, distinctive features are selected automatically and used for facial landmark detection.  ...  Similar AdaBoost-based work can be found in [2, 3] . In [2] , 2D cascaded AdaBoost framework is used for eye localization, which bootstrap both positive and negative samples in training stage.  ... 
doi:10.1109/fg.2011.5771329 dblp:conf/fgr/ZhaoCNHS11 fatcat:byzchths4jeqpnfyohzjxe7cfi

Learning To Recognize Faces By Local Feature Design And Selection

Yanwei Pang, Lei Zhang, Zhengkai Liu
2008 Zenodo  
Also, shape feature is considered in this paper for frontal view face recognition. These features are selected and combined under the framework of boosting algorithm and cascade structure.  ...  In this paper, we target at designing and learning local features for face recognition. We designed three types of local features.  ...  and contribute more for recognition; 3) Local patches around an eye are more discriminative than the patches which cover the whole eye; 4) For frontal view, it is helpful to use shape information for recognition  ... 
doi:10.5281/zenodo.1328415 fatcat:2v7elpfbd5htvmy3syhs7p7y5u

Head Pose Estimation Based On Detecting Facial Features

Hiyam Hatem, Zou Beiji, Raed Majeed, Jumana Waleed, Mohammed Lutf
2015 International Journal of Multimedia and Ubiquitous Engineering  
For facial feature detection from the detected face region, Haar-like feature utilized along with AdaBoost learning, the Adaboost learning algorithm used for creating optimized learning data.  ...  This method first locates certain facial features and based on their relative locations determine the head pose, the head pose estimated using coordinates of both eyes and a mouth relative to the nose  ...  Although a boosted cascade, classifier is a fast version of Adaboost, the classifier used in limited applications because no one has presented a calibration method for it.  ... 
doi:10.14257/ijmue.2015.10.3.28 fatcat:gsszgnw6srdvtlggrohs72yzte

Applying Artificial Neural Networks for Face Recognition

Thai Hoang Le
2011 Advances in Artificial Neural Systems  
In this alignment step, we propose a new 2D local texture model based on Multi Layer Perceptron.  ...  In the step of face detection, we propose a hybrid model combining AdaBoost and Artificial Neural Network (ABANN) to solve the process efficiently.  ...  For face alignment module, an MLP-ASM model was presented; multilayer perceptron (MLP) was used as a 2D local texture model for the active shape model (ASM) local searching.  ... 
doi:10.1155/2011/673016 fatcat:434xenzb6rg5tbipty7jjmm6jm

Learning Effective Intrinsic Features to Boost 3D-Based Face Recognition [chapter]

Chenghua Xu, Tieniu Tan, Stan Li, Yunhong Wang, Cheng Zhong
2006 Lecture Notes in Computer Science  
Therefore, in the second part of the work, we introduce a learning method for learning most effective local features and combining them into a strong classifier using an AdaBoost learning procedure.  ...  3D image data provide several advantages than 2D data for face recognition and overcome many problems with 2D intensity images based methods.  ...  Quan for valuable discussions and proofreading this paper. This work is supported by research funds from the Natural Science  ... 
doi:10.1007/11744047_32 fatcat:36w5syvop5arbplbw67mpgp24e

Automatic 3D face recognition from depth and intensity Gabor features

Chenghua Xu, Stan Li, Tieniu Tan, Long Quan
2009 Pattern Recognition  
In fact, the human face generates not only 2D texture information but also 3D shape information.  ...  In our system, local features described by Gabor wavelets are extracted from depth and intensity images, which are obtained from 3D data after fine alignment.  ...  Finally, the AdaBoost algorithm with the cascade structure [29] is used to select the most effective features and construct the cascaded classifier.  ... 
doi:10.1016/j.patcog.2009.01.001 fatcat:vfhkqbar3vaa3oo53h7g47ayxy

Driver fatigue detection based on eye state

Lizong Lin, Chao Huang, Xiaopeng Ni, Jiawen Wang, Hao Zhang, Xiao Li, Zhiqin Qian, Edward J. Ciaccio
2015 Technology and Health Care  
The simplified method of measuring the PERCLOS value of the driver was to calculate the ratio of the eyes being open and closed with the total number of frames for a given period.  ...  METHODS: The overall workflow solutions included face detection and tracking, detection and location of the human eye, human eye tracking, eye state recognition, and driver fatigue testing.  ...  The eye detection method was based on the Adaboost algorithm built on statistical learning and Haar-like cascade classifier.  ... 
doi:10.3233/thc-150982 pmid:26410512 fatcat:l6csakksnzcmpijjmpxwr5dfmi

Applications of Artificial Neural Networks to Facial Image Processing [chapter]

Thai Hoang
2011 Artificial Neural Networks - Application  
The left eye is the input for SNN 1 . The right eye is the input for SNN2.  ...  To deal with the problem, distinguishing feature points from non-feature points, which is critical to diminish the effects of local minima problem, we propose the local 2D structure model for each point  ...  This book is suitable for all professionals and scientists in understanding how ANN is applied in various areas.  ... 
doi:10.5772/15562 fatcat:mjnjebogybd25ojjkvl6d23wri

Illumination Invariant Face Recognition Using Near-Infrared Images

Stan Z. Li, Rufeng Chu, Shengcai Liao, Lun Zhang
2007 IEEE Transactions on Pattern Analysis and Machine Intelligence  
In this paper, we present a novel solution for illumination invariant face recognition for indoor, cooperative-user applications.  ...  Second, we show that the resulting face images encode intrinsic information of the face, subject only to a monotonic transform in the gray tone; based on this, we use local binary pattern (LBP) features  ...  Eye Localization classifies each scanned subwindow into either eye or noneye. .  ... 
doi:10.1109/tpami.2007.1014 pmid:17299220 fatcat:qjex5ymo5nc3xmwepvwhkygx2y

Approximate String Matching for Iris Recognition by Means of Boosted Gabor Wavelets

J Climent, J D Blanco, R A Hexsel
2010 2010 23rd SIBGRAPI Conference on Graphics, Patterns and Images  
A pyramidal strategy for cascading filters with increasing complexity makes the system suitable for realtime operation.  ...  This paper presents an efficient IrisCode classifier, built from phase features which uses AdaBoost for the selection of Gabor wavelets bandwidths.  ...  Kumar et al., in [12] , describe a correlation filter for each class that employs 2D Fourier transforms of training images. Proença et al.  ... 
doi:10.1109/sibgrapi.2010.14 dblp:conf/sibgrapi/ClimentBH10 fatcat:fommu7yq5vewxp5olicoyqrqxy

A Survey of Feature Base Methods for Human Face Detection

Hiyam Hatem, Zuo Beiji, Raed Majeed
2015 International Journal of Control and Automation  
Such applications have been reported in Lekshmi et al. [4] For face detection, [5] for facial feature extraction and [6] for face recognition.  ...  Moreover, in recent years a lot of pattern recognition and heuristic based methods have been proposed for detecting human face in images and videos [2] .  ...  The integral image and cascade framework make the detector run fast, whereas Adaboost is the key to obtain a high detection rate for a cascade node.  ... 
doi:10.14257/ijca.2015.8.5.07 fatcat:njcpgsjgdvfgvmvw5ayxz53s7e

Machine Learning Approach for Face Recognition from 3D Models Generated by Multiple 2D Angular Images

Sabrina Jahan Prova, Shegufta Mehzabin, Moinuddin Mahmud, Md. Ashraful Alam
2020 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)  
We propose machine learning approach for face recognition from 3D models generated by multiple 2D angular images that recognizes faces from multiple angle of a 3D face model.  ...  Again, it includes AdaBoost Learning algorithm which was used to train model to recognize faces.  ...  Finally our warm gratefulness to our beloved BRAC University for giving us all these opportunities to work on the field that we have cherished to work on.  ... 
doi:10.1109/csde50874.2020.9411541 fatcat:tuippst435depgba6fwlwd6k64

Face detection based on multi-scale enhanced local texture feature sets

Zhe Wei, Yuan Dong, Feng Zhao, Hongliang Bai
2012 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
The size of the MS-LTP feature set is also medium for the AdaBoost learning algorithm to select a proper set of features.  ...  This paper presents a distinctive rectangle feature Multi-Scale Local Ternary Patterns (MS-LTP) for face detection.  ...  Finally generates a 2d × 2d facial rectangle region for evaluation. Other detections are considered to be false alarms.  ... 
doi:10.1109/icassp.2012.6288043 dblp:conf/icassp/WeiDZB12 fatcat:7ne2x7h32rczdao3kyy5pwlbja

An Efficient Implementation Of Fpga Based Face Detection And Face Recognition System Using Haar Classifiers

Premalatha G
2013 Zenodo  
is used for varying illumination in the image.  ...  The classifiers in the beginning of the cascade are simpler and consist of smaller numbers of features.  ...  The first is local texturearound a given feature, for example the pixel values in a small region around an eye.  ... 
doi:10.5281/zenodo.821745 fatcat:grcmo52wzzhpvanz4zve36f6yy

Efficient Detection and Recognition of 3D Ears

Syed M. S. Islam, Rowan Davies, Mohammed Bennamoun, Ajmal S. Mian
2011 International Journal of Computer Vision  
Ear images are detected from 2D profile images using the proposed Cascaded AdaBoost detector.  ...  In this work, a very fast 2D AdaBoost detector is combined with fast 3D local feature matching and fine matching via an Iterative Closest Point (ICP) algorithm to obtain a complete, robust and fully automatic  ...  Snyder for their helpful discussions and K. M. Tracey, J. Wan and A. Chew for their technical assistance.  ... 
doi:10.1007/s11263-011-0436-0 fatcat:i27q3jyvxnbf3kbyrpmmnbvrue
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