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Classification of Face Images for Gender, Age, Facial Expression, and Identity [chapter]

Torsten Wilhelm, Hans-Joachim Böhme, Horst-Michael Gross
2005 Lecture Notes in Computer Science  
The extracted feature vectors are classified with Nearest Neighbor, MLP, RBF and LVQ networks, and classification results are compared.  ...  In this paper we compare two models for extracting features from face images and several neural classifiers for their applicability to classify gender, age, facial expression, and identity.  ...  On this matrix we applied ICA and obtained independent base images for the data, which represent local facial features, see Fig. 2(a) .  ... 
doi:10.1007/11550822_89 fatcat:ushlogm33jbzdlxn63nd23lxte

An Active Age Estimation of Facial image using Anthropometric Model and Fast ICA

Santhosh Kumar, East West Institute of Technology, Bangalore, Karnataka, India 560004, S. Ranjitha, H. N. Suresh, Bangalore Institute of Technology, Bengaluru, Karnataka, India 560004, Bangalore Institute of Technology, Bengaluru, Karnataka, India 560004
2017 Journal of Engineering Science and Technology Review  
KNN-regression classifier combines the classification & regression methods to enhance the accuracy of the age estimation system [11] , [12] .  ...  Only the facial geometry is considered by the anthropometric model based representations. The age estimation errors don't differ excessively when the features with minimized dimensions are used.  ... 
doi:10.25103/jestr.101.14 fatcat:cnvbnox66zg5lmfzxvkjqa2yjq

Eliminating other-race effect for multi-ethnic facial expression recognition

Mingliang Xue, Xiaodong Duan, Wanquan Liu
2019 Mathematical Foundations of Computing  
This work proposes an ICA-based method to eliminate the other-race effect in automatic 3D facial expression recognition.  ...  Firstly, the depth features are extracted from 3D local facial patches, and independent component analysis is applied to project the features into a subspace in which the projected features are mutually  ...  Based on the universality hypothesis, Ekman [6] proposed facial action coding system (FACS) to encode facial features of emotions, and six prototypic expressions (happy, surprise, fear, disgust, anger  ... 
doi:10.3934/mfc.2019004 fatcat:5jjfd6fjujdg7a4c3g7zx3tkhm

Down Syndrome Face Recognition: A Review

Olalekan Agbolade, Azree Nazri, Razali Yaakob, Abdul Azim Ghani, Yoke Kqueen Cheah
2020 Symmetry  
Consequently, the use of machine learning methods has facilitated the recognition of facial dysmorphic features associated with DS.  ...  This paper aims to present a concise review of DS face recognition using the currently published literature by following the generic face recognition pipeline (face detection, feature extraction, and classification  ...  The authors manually defined 17 clinically relevant facial anatomical points, which covered most of the inner facial features such as the mouth, eyes, and nose.  ... 
doi:10.3390/sym12071182 fatcat:qgau3gm6pzdapd6wkuyvgg7umy

Gender classification using face images: a review

2016 International Journal of Latest Trends in Engineering and Technology  
Gender classification using facial and racial features can be used as part of a face recognition process.  ...  This paper comparison of different gender classification techniques and use of different racial features such as eyes, nose, mouth etc. for gender classification.  ...  Feature-based methods are categories into two i.e. global feature and local features.  ... 
doi:10.21172/1.72.553 fatcat:pf2eltfejrhcfh3565ozey3toa

A systematic survey of facial expression recognition techniques

Yogesh Kumar, Sandeep Sharma
2017 2017 International Conference on Computing Methodologies and Communication (ICCMC)  
Facial Expression recognition system should be able to automatically detect a face in an image.  ...  This involves extracts its features and then recognize it, regardless of lighting, expression, illumination, ageing, transformations (translate, rotate and scale image) and pose, which is a difficult task  ...  Fig.1 Facial expression recognition system A. Face Detection Face Detection is the process of localizing and extracting the face region from the background.  ... 
doi:10.1109/iccmc.2017.8282636 fatcat:mkzpprnrbzg7bg3evrcpn7psb4

Spatiotemporal Features for Effective Facial Expression Recognition [chapter]

Hatice Çınar Akakın, Bülent Sankur
2012 Lecture Notes in Computer Science  
Emotion descriptors are then 3D Discrete Cosine Transform (DCT) features from this prism or DCT & ICA features.  ...  Features are extracted from landmark trajectories using Independent Component Analysis (ICA) method.  ...  A well established approach attempts to identify Action Units (AUs) [8, 7, 13] based on Facial Action Coding System (FACS) [14] .  ... 
doi:10.1007/978-3-642-35749-7_16 fatcat:mvhtinz3jncehlu53dpevgsgui

Learning spatiotemporal features by using independent component analysis with application to facial expression recognition

Fei Long, Tingfan Wu, Javier R. Movellan, Marian S. Bartlett, Gwen Littlewort
2012 Neurocomputing  
We test the performance of proposed feature learning method with application to facial expression recognition.  ...  Specifically, we employ independent component analysis (ICA) to learn spatiotemporal filters from natural videos, and then construct feature representations for the input videos in classification tasks  ...  Jeffrey Cohn for providing the Cohn-Kanade facial expression database used in experiments.  ... 
doi:10.1016/j.neucom.2012.04.017 fatcat:bqyhqges4fc3fngxbxiqpidrf4

Facial Feature Extraction Based on Local Color and Texture for Face Recognition using Neural Network

S.Cynthia Christabel, M. Annalakshmi, Mr.D.Prince Winston
2013 International Journal of Science and Engineering Applications  
In addition, to perform the final classification, multiple color local texture features (each corresponding to the associated color band) are combined within a feature-level fusion framework using Neural  ...  Particularly, compared with gray scale texture features, the proposed color local texture features are able to provide excellent recognition rates for face images taken under severe variation in illumination  ...  Fig. 3 . 3 Proposed color gender classification system model based on color local texture features.  ... 
doi:10.7753/ijsea0204.1005 fatcat:2v2holnbzvawnlxd4vuibcl5ha

Digital facial dysmorphology for genetic screening: Hierarchical constrained local model using ICA

Qian Zhao, Kazunori Okada, Kenneth Rosenbaum, Lindsay Kehoe, Dina J. Zand, Raymond Sze, Marshall Summar, Marius George Linguraru
2014 Medical Image Analysis  
Geometric and local texture features are extracted based on automatically detected anatomical landmarks to describe facial morphology and structure.  ...  To accurately locate the anatomical facial landmarks, a hierarchical constrained local model using independent component analysis (ICA) is proposed.  ...  Facial landmarks were located using an ICA-based hierarchical constrained local model.  ... 
doi:10.1016/ pmid:24835178 fatcat:spaavlkwwregljumvt2pmmdkhq

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.  ...  The classifier of the model significantly improves the accuracy and the robustness of local searching on faces with expression variation and ambiguous contours.  ...  Figure 14 : 14 Facial feature extraction by geometric feature-based method combination with ICA method. Firstly, patterns or images are projected to difference spaces.  ... 
doi:10.1155/2011/673016 fatcat:434xenzb6rg5tbipty7jjmm6jm

High Performance Human Face Recognition using Independent High Intensity Gabor Wavelet Responses: A Statistical Approach [article]

Arindam Kar, Debotosh Bhattacharjee, Dipak Kumar Basu, Mita Nasipuri, Mahantapas Kundu
2011 arXiv   pre-print
Then ICA is applied on these locally extracted high-intensity feature vectors of the facial images to obtain the independent high intensity feature (IHIF) vectors.  ...  On the other hand, as the ICA employs locally salient features from the high informative facial parts, it reduces redundancy and represents independent features explicitly.  ...  Basu acknowledges with thanks the receipts of AICTE Emeritus Fellowship (1-51/RID/EF(13)/2007-08).  ... 
arXiv:1106.3467v1 fatcat:xt6p2by3grgalpr45fs4c4luve

Facial recognition techniques using SVM: A comparative analysis

José Augusto Cadena Moreano, Nora Bertha La Serna Palomino, Alex Christian Llano Casa
2019 Enfoqute  
The objective is to determine efficient techniques that allow an optimal 2D facial recognition process, based on the quality of databases, feature extractors and pattern classifiers.  ...  The focus is on the results obtained by some researchers with the application of feature extraction techniques, pattern classifiers, databases and their respective percentage of efficiency obtained.  ...  the user's facial features associated with the transform and a spatially improved local binary pattern.  ... 
doi:10.29019/enfoque.v10n3.493 fatcat:362lugdem5gbfkngqqunldvhbm

A review on Facial Indentification and Gender Recognization

2017 International Journal of Recent Trends in Engineering and Research  
There are many methods have been proposed in the literature for the age estimation and gender classification.  ...  Over the recent years, a great deal of effort has been made to age estimation & gender recognization from face images.  ...  Facial feature extraction We broadly categorize feature extraction methods for face gender classification into geometric-based and appearance-based methods, following [9] [16] .  ... 
doi:10.23883/ijrter.2017.3118.rbcrv fatcat:jdy5vkuahnbtlhplj64o3uyeku

Analysis of cypriot icon faces using ICA-enhanced active shape model representation

Guifang Duan, Neela Sawant, James Z. Wang, Dean Snow, Danni Ai, Yen-Wei Chen
2011 Proceedings of the 19th ACM international conference on Multimedia - MM '11  
This paper proposes an active shape model (ASM) based technique for icon face representation that can be used for style comparison and attribution.  ...  For centuries-old icons suffering from loss of paint, cracks and added noise from digitization artifacts, we apply an independent component analysis (ICA) technique to enhance the paintings' original work  ...  We now discuss the four main aspects of the system: face detection, ICA decomposition and noise separation, ASM fitting, and facial feature extraction.  ... 
doi:10.1145/2072298.2071898 dblp:conf/mm/DuanSWSAC11 fatcat:ycoekuzdmrcnjjh2i3etsp6oxm
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