Dimensionality Reduction Techniques In Face Recognition

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Dimensionality Reduction Techniques in Face Recognition

Author : Ham M. Rara
Publisher :
ISBN 13 :
Total Pages : 248 pages
Book Rating : 4.:/5 (144 download)

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Book Synopsis Dimensionality Reduction Techniques in Face Recognition by : Ham M. Rara

Download or read book Dimensionality Reduction Techniques in Face Recognition written by Ham M. Rara and published by . This book was released on 2006 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: The direction of this work is in the field of subspace face recognition, where faces are assumed to belong to a face space, a subspace of the original high-dimensional space. The primary goal of this work is to present a qualitative and quantitative comparison of the three most representative subspace analysis algorithms in face recognition, namely: Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), and Independent Component Analysis (ICA), and at the same time gain the necessary experience to apply and enhance these methods in the future, to achieve better recognition results. The motivation of this task is the lack of concrete comparison between the three algorithms in the face recognition literature. Results show that the PCA and ICA appear to be stable as the number of training images is increased, while the classification results of LDA become noticeably lower than the two former algorithms. The classification rates do not appear to be affected by the variation of subspace dimensions in the FERET experiments.

Reviews, Refinements and New Ideas in Face Recognition

Author : Peter Corcoran
Publisher : IntechOpen
ISBN 13 : 9789533073682
Total Pages : 340 pages
Book Rating : 4.0/5 (736 download)

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Book Synopsis Reviews, Refinements and New Ideas in Face Recognition by : Peter Corcoran

Download or read book Reviews, Refinements and New Ideas in Face Recognition written by Peter Corcoran and published by IntechOpen. This book was released on 2011-07-27 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: As a baby one of our earliest stimuli is that of human faces. We rapidly learn to identify, characterize and eventually distinguish those who are near and dear to us. We accept face recognition later as an everyday ability. We realize the complexity of the underlying problem only when we attempt to duplicate this skill in a computer vision system. This book is arranged around a number of clustered themes covering different aspects of face recognition. The first section on Statistical Face Models and Classifiers presents reviews and refinements of some well-known statistical models. The next section presents two articles exploring the use of Infrared imaging techniques and is followed by few articles devoted to refinements of classical methods. New approaches to improve the robustness of face analysis techniques are followed by two articles dealing with real-time challenges in video sequences. A final article explores human perceptual issues of face recognition.

Face Recognition

Author : Miloš Oravec
Publisher : BoD – Books on Demand
ISBN 13 : 9533070609
Total Pages : 414 pages
Book Rating : 4.5/5 (33 download)

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Book Synopsis Face Recognition by : Miloš Oravec

Download or read book Face Recognition written by Miloš Oravec and published by BoD – Books on Demand. This book was released on 2010-04-01 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to bring together selected recent advances, applications and original results in the area of biometric face recognition. They can be useful for researchers, engineers, graduate and postgraduate students, experts in this area and hopefully also for people interested generally in computer science, security, machine learning and artificial intelligence. Various methods, approaches and algorithms for recognition of human faces are used by authors of the chapters of this book, e.g. PCA, LDA, artificial neural networks, wavelets, curvelets, kernel methods, Gabor filters, active appearance models, 2D and 3D representations, optical correlation, hidden Markov models and others. Also a broad range of problems is covered: feature extraction and dimensionality reduction (chapters 1-4), 2D face recognition from the point of view of full system proposal (chapters 5-10), illumination and pose problems (chapters 11-13), eye movement (chapter 14), 3D face recognition (chapters 15-19) and hardware issues (chapters 19-20).

Introductory Chapter: Face Recognition - Overview, Dimensionality Reduction, and Evaluation Methods

Author : S. Ramakrishnan
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (115 download)

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Book Synopsis Introductory Chapter: Face Recognition - Overview, Dimensionality Reduction, and Evaluation Methods by : S. Ramakrishnan

Download or read book Introductory Chapter: Face Recognition - Overview, Dimensionality Reduction, and Evaluation Methods written by S. Ramakrishnan and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Introductory Chapter: Face Recognition - Overview, Dimensionality Reduction, and Evaluation Methods.

Face Recognition

Author : S. Ramakrishnan
Publisher : BoD – Books on Demand
ISBN 13 : 9535124218
Total Pages : 104 pages
Book Rating : 4.5/5 (351 download)

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Book Synopsis Face Recognition by : S. Ramakrishnan

Download or read book Face Recognition written by S. Ramakrishnan and published by BoD – Books on Demand. This book was released on 2016-07-06 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pattern recognition has gained significant attention due to the rapid explosion of internet- and mobile-based applications. Among the various pattern recognition applications, face recognition is always being the center of attraction. With so much of unlabeled face images being captured and made available on internet (particularly on social media), conventional supervised means of classifying face images become challenging. This clearly warrants for semi-supervised classification and subspace projection. Another important concern in face recognition system is the proper and stringent evaluation of its capability. This book is edited keeping all these factors in mind. This book is composed of five chapters covering introduction, overview, semi-supervised classification, subspace projection, and evaluation techniques.

Face Detection and Recognition

Author : Asit Kumar Datta
Publisher : CRC Press
ISBN 13 : 148222657X
Total Pages : 353 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Face Detection and Recognition by : Asit Kumar Datta

Download or read book Face Detection and Recognition written by Asit Kumar Datta and published by CRC Press. This book was released on 2015-10-28 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: Face detection and recognition are the nonintrusive biometrics of choice in many security applications. Examples of their use include border control, driver's license issuance, law enforcement investigations, and physical access control.Face Detection and Recognition: Theory and Practice elaborates on and explains the theory and practice of face de

Machine Learning Approaches in Cyber Security Analytics

Author : Tony Thomas
Publisher : Springer Nature
ISBN 13 : 9811517061
Total Pages : 217 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Machine Learning Approaches in Cyber Security Analytics by : Tony Thomas

Download or read book Machine Learning Approaches in Cyber Security Analytics written by Tony Thomas and published by Springer Nature. This book was released on 2019-12-16 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces various machine learning methods for cyber security analytics. With an overwhelming amount of data being generated and transferred over various networks, monitoring everything that is exchanged and identifying potential cyber threats and attacks poses a serious challenge for cyber experts. Further, as cyber attacks become more frequent and sophisticated, there is a requirement for machines to predict, detect, and identify them more rapidly. Machine learning offers various tools and techniques to automate and quickly predict, detect, and identify cyber attacks.

Face Recognition for Real Time Application

Author : Pradeep Kakkar
Publisher : GRIN Verlag
ISBN 13 : 3668580065
Total Pages : 103 pages
Book Rating : 4.6/5 (685 download)

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Book Synopsis Face Recognition for Real Time Application by : Pradeep Kakkar

Download or read book Face Recognition for Real Time Application written by Pradeep Kakkar and published by GRIN Verlag. This book was released on 2017-11-27 with total page 103 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master's Thesis from the year 2017 in the subject Engineering - Computer Engineering, grade: 10, , course: M.Tech-ECE, language: English, abstract: Images containing faces are essential to intelligent vision-based human computer interaction, and research efforts in face processing include face recognition, face tracking, pose estimation, and expression recognition. The rapidly expanding research in face processing is based on the premise that information about a user’s identity, state, and intent can be extracted from images and that computers can then react accordingly, e.g., by knowing person’s identity, person may be authenticated to utilize a particular service or not. A first step of any face processing system is registering the locations in images where faces are present. The local binary pattern is a simple yet very efficient texture operator which labels the pixels of an image by thresholding the neighborhood of each pixel and considers the result as a binary number. The LBP method can be seen as a unifying approach to the traditionally divergent statistical and structural models of texture analysis. Perhaps the most important property of the LBP operator in real-world applications is its invariance against monotonic gray level changes caused, e.g., by illumination variations. Another equally important is its computational simplicity, which makes it possible to analyze images in challenging real-time settings. The success of LBP in face description is due to the discriminative power and computational simplicity of the LBP operator, and the robustness of LBP to mono-tonic gray scale changes caused by, for example, illumination variations. The use of histograms as features also makes the LBP approach robust to face misalignment and pose variations. For these reasons, the LBP methodology has already attained an established position in face analysis research. Because finding an efficient spatiotemporal representation for face analysis from videos is challenging, most of the existing works limit the scope of the problem by discarding the facial dynamics and only considering the structure. Motivated by the psychophysical findings which indicate that facial movements can provide valuable information to face analysis, spatiotemporal LBP approaches for face, facial expression and gender recognition from videos were described.

Recent Advances in Face Recognition

Author : Kresimir Delac
Publisher : BoD – Books on Demand
ISBN 13 : 9537619346
Total Pages : 250 pages
Book Rating : 4.5/5 (376 download)

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Book Synopsis Recent Advances in Face Recognition by : Kresimir Delac

Download or read book Recent Advances in Face Recognition written by Kresimir Delac and published by BoD – Books on Demand. This book was released on 2008-12-01 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main idea and the driver of further research in the area of face recognition are security applications and human-computer interaction. Face recognition represents an intuitive and non-intrusive method of recognizing people and this is why it became one of three identification methods used in e-passports and a biometric of choice for many other security applications. This goal of this book is to provide the reader with the most up to date research performed in automatic face recognition. The chapters presented use innovative approaches to deal with a wide variety of unsolved issues.

Data Analytics in Bioinformatics

Author : Rabinarayan Satpathy
Publisher : John Wiley & Sons
ISBN 13 : 111978560X
Total Pages : 433 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Data Analytics in Bioinformatics by : Rabinarayan Satpathy

Download or read book Data Analytics in Bioinformatics written by Rabinarayan Satpathy and published by John Wiley & Sons. This book was released on 2021-01-20 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel machine learning computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines, neural networks, and graphical models have been successful in analyzing life science data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. Machine Learning in Bioinformatics compiles recent approaches in machine learning methods and their applications in addressing contemporary problems in bioinformatics approximating classification and prediction of disease, feature selection, dimensionality reduction, gene selection and classification of microarray data and many more.

Advances in Face Image Analysis

Author : Fadi Dornaika
Publisher : Bentham Science Publishers
ISBN 13 : 1681081105
Total Pages : 264 pages
Book Rating : 4.6/5 (81 download)

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Book Synopsis Advances in Face Image Analysis by : Fadi Dornaika

Download or read book Advances in Face Image Analysis written by Fadi Dornaika and published by Bentham Science Publishers. This book was released on 2016-03-02 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Face Image Analysis: Theory and applications describes several approaches to facial image analysis and recognition. Eleven chapters cover advances in computer vision and pattern recognition methods used to analyze facial data. The topics addressed in this book include automatic face detection, 3D face model fitting, robust face recognition, facial expression recognition, face image data embedding, model-less 3D face pose estimation and image-based age estimation. The chapters are also written by experts from a different research groups. Readers will, therefore, have access to contemporary knowledge on facial recognition with some diverse perspectives offered for individual techniques. The book is a useful resource for a wide audience such as i) researchers and professionals working in the field of face image analysis, ii) the entire pattern recognition community interested in processing and extracting features from raw face images, and iii) technical experts as well as postgraduate computer science students interested in cutting edge concepts of facial image recognition.

Machine Learning Techniques for Multimedia

Author : Matthieu Cord
Publisher : Springer Science & Business Media
ISBN 13 : 3540751718
Total Pages : 297 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Machine Learning Techniques for Multimedia by : Matthieu Cord

Download or read book Machine Learning Techniques for Multimedia written by Matthieu Cord and published by Springer Science & Business Media. This book was released on 2008-02-07 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Processing multimedia content has emerged as a key area for the application of machine learning techniques, where the objectives are to provide insight into the domain from which the data is drawn, and to organize that data and improve the performance of the processes manipulating it. Arising from the EU MUSCLE network, this multidisciplinary book provides a comprehensive coverage of the most important machine learning techniques used and their application in this domain.

Reviews, Refinements and New Ideas in Face Recognition

Author : Peter Corcoran
Publisher : BoD – Books on Demand
ISBN 13 : 9533073683
Total Pages : 342 pages
Book Rating : 4.5/5 (33 download)

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Book Synopsis Reviews, Refinements and New Ideas in Face Recognition by : Peter Corcoran

Download or read book Reviews, Refinements and New Ideas in Face Recognition written by Peter Corcoran and published by BoD – Books on Demand. This book was released on 2011-07-27 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: As a baby one of our earliest stimuli is that of human faces. We rapidly learn to identify, characterize and eventually distinguish those who are near and dear to us. We accept face recognition later as an everyday ability. We realize the complexity of the underlying problem only when we attempt to duplicate this skill in a computer vision system. This book is arranged around a number of clustered themes covering different aspects of face recognition. The first section on Statistical Face Models and Classifiers presents reviews and refinements of some well-known statistical models. The next section presents two articles exploring the use of Infrared imaging techniques and is followed by few articles devoted to refinements of classical methods. New approaches to improve the robustness of face analysis techniques are followed by two articles dealing with real-time challenges in video sequences. A final article explores human perceptual issues of face recognition.

New Approaches to Characterization and Recognition of Faces

Author : Asa Bensten
Publisher :
ISBN 13 : 9781681174631
Total Pages : 336 pages
Book Rating : 4.1/5 (746 download)

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Book Synopsis New Approaches to Characterization and Recognition of Faces by : Asa Bensten

Download or read book New Approaches to Characterization and Recognition of Faces written by Asa Bensten and published by . This book was released on 2016-04-01 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: The human face plays an important role in our social interaction, conveying people's identity. Using the human face as a key to security, biometric face recognition technology has received significant attention in the past several years due to its potential for a wide variety of applications in both law enforcement and non-law enforcement. As compared with other biometrics systems using fingerprint/palmprint and iris, face recognition has distinct advantages because of its non-contact process. Facial recognition (or face recognition) is a type of biometric software application that can identify a specific individual in a digital image by analyzing and comparing patterns. Facial recognition systems are commonly used for security purposes but are increasingly being used in a variety of other applications. The Kinect motion gaming system, for example, uses facial recognition to differentiate among players. Most current facial recognition systems work with numeric codes called faceprints. Such systems identify 80 nodal points on a human face.New Approaches to Characterization and Recognition of Faces is arranged around a number of clustered themes covering different aspects of face recognition. This book explores subspace methods for dimensionality reduction in face image processing, statistical methods applied to face detection, and intelligent face detection methods dominated by the use of artificial neural networks. This text should be of immense valuable tool for post graduate students, researchers and professors as well as for those employed in this field.

Geometric Structure of High-Dimensional Data and Dimensionality Reduction

Author : Jianzhong Wang
Publisher : Springer Science & Business Media
ISBN 13 : 3642274978
Total Pages : 363 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Geometric Structure of High-Dimensional Data and Dimensionality Reduction by : Jianzhong Wang

Download or read book Geometric Structure of High-Dimensional Data and Dimensionality Reduction written by Jianzhong Wang and published by Springer Science & Business Media. This book was released on 2012-04-28 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Geometric Structure of High-Dimensional Data and Dimensionality Reduction" adopts data geometry as a framework to address various methods of dimensionality reduction. In addition to the introduction to well-known linear methods, the book moreover stresses the recently developed nonlinear methods and introduces the applications of dimensionality reduction in many areas, such as face recognition, image segmentation, data classification, data visualization, and hyperspectral imagery data analysis. Numerous tables and graphs are included to illustrate the ideas, effects, and shortcomings of the methods. MATLAB code of all dimensionality reduction algorithms is provided to aid the readers with the implementations on computers. The book will be useful for mathematicians, statisticians, computer scientists, and data analysts. It is also a valuable handbook for other practitioners who have a basic background in mathematics, statistics and/or computer algorithms, like internet search engine designers, physicists, geologists, electronic engineers, and economists. Jianzhong Wang is a Professor of Mathematics at Sam Houston State University, U.S.A.

Advances in Face Image Analysis: Techniques and Technologies

Author : Zhang, Yu-Jin
Publisher : IGI Global
ISBN 13 : 1615209921
Total Pages : 404 pages
Book Rating : 4.6/5 (152 download)

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Book Synopsis Advances in Face Image Analysis: Techniques and Technologies by : Zhang, Yu-Jin

Download or read book Advances in Face Image Analysis: Techniques and Technologies written by Zhang, Yu-Jin and published by IGI Global. This book was released on 2010-07-31 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: More than 30 leading experts from around the world provide comprehensive coverage of various branches of face image analysis, making this text a valuable asset for students, researchers, and practitioners engaged in the study, research, and development of face image analysis techniques.

Technique for Reducing Dimensionality of Data in Decision-Making Utilizing Neutrosophic Soft Matrices

Author : Abhishek Guleria
Publisher : Infinite Study
ISBN 13 :
Total Pages : 13 pages
Book Rating : 4./5 ( download)

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Book Synopsis Technique for Reducing Dimensionality of Data in Decision-Making Utilizing Neutrosophic Soft Matrices by : Abhishek Guleria

Download or read book Technique for Reducing Dimensionality of Data in Decision-Making Utilizing Neutrosophic Soft Matrices written by Abhishek Guleria and published by Infinite Study. This book was released on with total page 13 pages. Available in PDF, EPUB and Kindle. Book excerpt: The decision-making problems in which there are large numbers of qualitative and quantitative factors involved, the technique of dimensionality reduction plays an important role for simplicity and wider applicability.