Face Image Analysis By Unsupervised Learning

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Face Image Analysis by Unsupervised Learning

Author : Marian Stewart Bartlett
Publisher : Springer Science & Business Media
ISBN 13 : 1461516374
Total Pages : 181 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Face Image Analysis by Unsupervised Learning by : Marian Stewart Bartlett

Download or read book Face Image Analysis by Unsupervised Learning written by Marian Stewart Bartlett and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: Face Image Analysis by Unsupervised Learning explores adaptive approaches to image analysis. It draws upon principles of unsupervised learning and information theory to adapt processing to the immediate task environment. In contrast to more traditional approaches to image analysis in which relevant structure is determined in advance and extracted using hand-engineered techniques, Face Image Analysis by Unsupervised Learning explores methods that have roots in biological vision and/or learn about the image structure directly from the image ensemble. Particular attention is paid to unsupervised learning techniques for encoding the statistical dependencies in the image ensemble. The first part of this volume reviews unsupervised learning, information theory, independent component analysis, and their relation to biological vision. Next, a face image representation using independent component analysis (ICA) is developed, which is an unsupervised learning technique based on optimal information transfer between neurons. The ICA representation is compared to a number of other face representations including eigenfaces and Gabor wavelets on tasks of identity recognition and expression analysis. Finally, methods for learning features that are robust to changes in viewpoint and lighting are presented. These studies provide evidence that encoding input dependencies through unsupervised learning is an effective strategy for face recognition. Face Image Analysis by Unsupervised Learning is suitable as a secondary text for a graduate-level course, and as a reference for researchers and practitioners in industry.

Face Image Analysis by Unsupervised Learning and Redundancy Reduction

Author : Marian Stewart Bartlett
Publisher :
ISBN 13 :
Total Pages : 446 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis Face Image Analysis by Unsupervised Learning and Redundancy Reduction by : Marian Stewart Bartlett

Download or read book Face Image Analysis by Unsupervised Learning and Redundancy Reduction written by Marian Stewart Bartlett and published by . This book was released on 1998 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Practical Machine Learning and Image Processing

Author : Himanshu Singh
Publisher : Apress
ISBN 13 : 1484241495
Total Pages : 177 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Practical Machine Learning and Image Processing by : Himanshu Singh

Download or read book Practical Machine Learning and Image Processing written by Himanshu Singh and published by Apress. This book was released on 2019-02-26 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for implementing the algorithms discussed in the book. You will then cover all the core image processing algorithms in detail before moving onto the biggest computer vision library: OpenCV. You’ll see the OpenCV algorithms and how to use them for image processing. The next section looks at advanced machine learning and deep learning methods for image processing and classification. You’ll work with concepts such as pulse coupled neural networks, AdaBoost, XG boost, and convolutional neural networks for image-specific applications. Later you’ll explore how models are made in real time and then deployed using various DevOps tools. All the concepts in Practical Machine Learning and Image Processing are explained using real-life scenarios. After reading this book you will be able to apply image processing techniques and make machine learning models for customized application. What You Will LearnDiscover image-processing algorithms and their applications using Python Explore image processing using the OpenCV library Use TensorFlow, scikit-learn, NumPy, and other libraries Work with machine learning and deep learning algorithms for image processing Apply image-processing techniques to five real-time projects Who This Book Is For Data scientists and software developers interested in image processing and computer vision.

Face Image Analysis with Convolutional Neural Networks

Author : Stefan Duffner
Publisher : GRIN Verlag
ISBN 13 : 3640397169
Total Pages : 201 pages
Book Rating : 4.6/5 (43 download)

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Book Synopsis Face Image Analysis with Convolutional Neural Networks by : Stefan Duffner

Download or read book Face Image Analysis with Convolutional Neural Networks written by Stefan Duffner and published by GRIN Verlag. This book was released on 2009-08 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: Doctoral Thesis / Dissertation from the year 2008 in the subject Computer Science - Applied, grade: 1, University of Freiburg (Lehrstuhl für Mustererkennung und Bildverarbeitung), language: English, abstract: In this work, we present the problem of automatic appearance-based facial analysis with machine learning techniques and describe common speciﬁc sub-problems like face detection, facial feature detection and face recognition which are the crucial parts of many applications in the context of indexation, surveillance, access-control or human-computer interaction. To tackle this problem, we particularly focus on a technique called Convolutional Neural Network (CNN) which is inspired by biological evidence found in the visual cortex of mammalian brains and which has already been applied to many different classi fication problems. Existing CNN-based methods, like the face detection system proposed by Garcia and Delakis, show that this can be a very effective, efficient and robust approach to non-linear image processing tasks. An important step in many automatic facial analysis applications, e.g. face recognition, is face alignment which tries to translate, scale and rotate the face image such that specific facial features are roughly at predeﬁned positions in the image. We propose an efficient approach to this problem using CNNs and experimentally show its very good performance on difficult test images. We further present a CNN-based method for automatic facial feature detection. The proposed system employs a hierarchical procedure which first roughly localizes the eyes, the nose and the mouth and then reﬁnes the result by detecting 10 different facial feature points. The detection rate of this method is 96% for the AR database and 87% for the BioID database tolerating an error of 10% of the inter-ocular distance. Finally, we propose a novel face recognition approach based on a speciﬁc CNN architecture learning a non-linear mapping of the image space into a lower-dim

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.

Face Recognition in Adverse Conditions

Author : De Marsico, Maria
Publisher : IGI Global
ISBN 13 : 146665967X
Total Pages : 506 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Face Recognition in Adverse Conditions by : De Marsico, Maria

Download or read book Face Recognition in Adverse Conditions written by De Marsico, Maria and published by IGI Global. This book was released on 2014-04-30 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: Facial recognition software has improved by leaps and bounds over the past few decades, with error rates decreasing significantly within the past ten years. Though this is true, conditions such as poor lighting, obstructions, and profile-only angles have continued to persist in preventing wholly accurate readings. Face Recognition in Adverse Conditions examines how the field of facial recognition takes these adverse conditions into account when designing more effective applications by discussing facial recognition under real world PIE variations, current applications, and the future of the field of facial recognition research. The work is intended for academics, engineers, and researchers specializing in the field of facial recognition.

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.

Reliable Face Recognition Methods

Author : Harry Wechsler
Publisher : Springer Science & Business Media
ISBN 13 : 0387384642
Total Pages : 332 pages
Book Rating : 4.3/5 (873 download)

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Book Synopsis Reliable Face Recognition Methods by : Harry Wechsler

Download or read book Reliable Face Recognition Methods written by Harry Wechsler and published by Springer Science & Business Media. This book was released on 2009-04-05 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book seeks to comprehensively address the face recognition problem while gaining new insights from complementary fields of endeavor. These include neurosciences, statistics, signal and image processing, computer vision, machine learning and data mining. The book examines the evolution of research surrounding the field to date, explores new directions, and offers specific guidance on the most promising venues for future research and development. The book’s focused approach and its clarity of presentation make this an excellent reference work.

Style-Based Unsupervised Learning for Real-World Face Image Super-Resolution

Author : Xin Li
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (139 download)

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Book Synopsis Style-Based Unsupervised Learning for Real-World Face Image Super-Resolution by : Xin Li

Download or read book Style-Based Unsupervised Learning for Real-World Face Image Super-Resolution written by Xin Li and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Face image synthesis has advanced rapidly in recent years. However, similar success has not been witnessed in related areas such as face single image super-resolution (SISR). The performance of SISR on real-world low-quality face images remains unsatisfactory. In this paper, we demonstrate how to advance the state-of-the-art in face SISR by leveraging style-based generator in unsupervised settings. For real-world low-resolution (LR) face images, we propose a novel unsupervised learning approach by combining style-based generator with relativistic discriminator. With a carefully designed training strategy, we demonstrate our converges faster and better suppresses artifacts than Bulat,Äôs approach. When trained on an ensemble of high-quality datasets (CelebA, AFLW, LS3D-W, and VGGFace2), we report significant visual quality improvements over other competing methods especially for real-world low-quality face images such as those in Widerface. Additionally, we have verified that both our unsupervised approaches are capable of improving the matching performance of widely used face recognition systems such as OpenFace.

Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments

Author : Raj, Alex Noel Joseph
Publisher : IGI Global
ISBN 13 : 1799866920
Total Pages : 381 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments by : Raj, Alex Noel Joseph

Download or read book Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments written by Raj, Alex Noel Joseph and published by IGI Global. This book was released on 2020-12-25 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advancements in imaging techniques and image analysis has broadened the horizons for their applications in various domains. Image analysis has become an influential technique in medical image analysis, optical character recognition, geology, remote sensing, and more. However, analysis of images under constrained and unconstrained environments require efficient representation of the data and complex models for accurate interpretation and classification of data. Deep learning methods, with their hierarchical/multilayered architecture, allow the systems to learn complex mathematical models to provide improved performance in the required task. The Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments provides a critical examination of the latest advancements, developments, methods, systems, futuristic approaches, and algorithms for image analysis and addresses its challenges. Highlighting concepts, methods, and tools including convolutional neural networks, edge enhancement, image segmentation, machine learning, and image processing, the book is an essential and comprehensive reference work for engineers, academicians, researchers, and students.

Advances in Face Detection and Facial Image Analysis

Author : Michal Kawulok
Publisher : Springer
ISBN 13 : 331925958X
Total Pages : 438 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Advances in Face Detection and Facial Image Analysis by : Michal Kawulok

Download or read book Advances in Face Detection and Facial Image Analysis written by Michal Kawulok and published by Springer. This book was released on 2016-04-02 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the state-of-the-art in face detection and analysis. It outlines new research directions, including in particular psychology-based facial dynamics recognition, aimed at various applications such as behavior analysis, deception detection, and diagnosis of various psychological disorders. Topics of interest include face and facial landmark detection, face recognition, facial expression and emotion analysis, facial dynamics analysis, face classification, identification, and clustering, and gaze direction and head pose estimation, as well as applications of face analysis.

Deep Learning-Based Face Analytics

Author : Nalini K Ratha
Publisher : Springer Nature
ISBN 13 : 3030746976
Total Pages : 405 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Deep Learning-Based Face Analytics by : Nalini K Ratha

Download or read book Deep Learning-Based Face Analytics written by Nalini K Ratha and published by Springer Nature. This book was released on 2021-08-16 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of different deep learning-based methods for face recognition and related problems. Specifically, the authors present methods based on autoencoders, restricted Boltzmann machines, and deep convolutional neural networks for face detection, localization, tracking, recognition, etc. The authors also discuss merits and drawbacks of available approaches and identifies promising avenues of research in this rapidly evolving field. Even though there have been a number of different approaches proposed in the literature for face recognition based on deep learning methods, there is not a single book available in the literature that gives a complete overview of these methods. The proposed book captures the state of the art in face recognition using various deep learning methods, and it covers a variety of different topics related to face recognition. This book is aimed at graduate students studying electrical engineering and/or computer science. Biometrics is a course that is widely offered at both undergraduate and graduate levels at many institutions around the world: This book can be used as a textbook for teaching topics related to face recognition. In addition, the work is beneficial to practitioners in industry who are working on biometrics-related problems. The prerequisites for optimal use are the basic knowledge of pattern recognition, machine learning, probability theory, and linear algebra.

Face Processing And Applications To Distance Learning

Author : Vuong Le
Publisher : World Scientific
ISBN 13 : 9814733040
Total Pages : 139 pages
Book Rating : 4.8/5 (147 download)

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Book Synopsis Face Processing And Applications To Distance Learning by : Vuong Le

Download or read book Face Processing And Applications To Distance Learning written by Vuong Le and published by World Scientific. This book was released on 2016-03-30 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: This special compendium provides a concise and unified vision of facial image processing. It addresses a collection of state-of-the-art techniques, covering the most important areas for facial biometrics and behavior analysis. These techniques also converge to serve an emerging practical application of interactive distance learning.Readers will get a broad picture of the fundamental science of the field and technical details that make the research interesting. Moreover, the intellectual investigation motivated by the demand of real-life application will make this volume an inspiring read for current and prospective researchers and engineers in the fields of computer vision, machine learning and image processing.

Applied Pattern Recognition

Author : Horst Bunke
Publisher : Springer
ISBN 13 : 3540768319
Total Pages : 251 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Applied Pattern Recognition by : Horst Bunke

Download or read book Applied Pattern Recognition written by Horst Bunke and published by Springer. This book was released on 2008-02-28 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: A sharp increase in the computing power of modern computers has triggered the development of powerful algorithms that can analyze complex patterns in large amounts of data within a short time period. Consequently, it has become possible to apply pattern recognition techniques to new tasks. The main goal of this book is to cover some of the latest application domains of pattern recognition while presenting novel techniques that have been developed or customized in those domains.

An Unsupervised Learning Approach for Facial Expression Recognition Using Semi-Definite Programming and Generalized Principal Component Analysis

Download An Unsupervised Learning Approach for Facial Expression Recognition Using Semi-Definite Programming and Generalized Principal Component Analysis PDF Online Free

Author :
Publisher :
ISBN 13 :
Total Pages : 11 pages
Book Rating : 4.:/5 (713 download)

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Book Synopsis An Unsupervised Learning Approach for Facial Expression Recognition Using Semi-Definite Programming and Generalized Principal Component Analysis by :

Download or read book An Unsupervised Learning Approach for Facial Expression Recognition Using Semi-Definite Programming and Generalized Principal Component Analysis written by and published by . This book was released on 2010 with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper, we consider facial expression recognition using an unsupervised learning framework. Specifically, given a data set composed of a number of facial images of the same subject with different facial expressions, the algorithm segments the data set into groups corresponding to different facial expressions. Each facial image can be regarded as a point in a high-dimensional space, and the collection of images of the same subject resides on a manifold within this space. We show that different facial expressions reside on distinct subspaces if the manifold is unfolded. In particular, semi-definite embedding is used to reduce the dimensionality and unfold the manifold of facial images. Next, generalized principal component analysis is used to fit a series of subspaces to the data points and associate each data point to a subspace. Data points that belong to the same subspace are shown to belong to the same facial expression.

Computer Vision - ECCV 2000

Author : David Vernon
Publisher : Elsevier
ISBN 13 : 9783540676867
Total Pages : 908 pages
Book Rating : 4.6/5 (768 download)

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Book Synopsis Computer Vision - ECCV 2000 by : David Vernon

Download or read book Computer Vision - ECCV 2000 written by David Vernon and published by Elsevier. This book was released on 2000-06-19 with total page 908 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ten years ago, the inaugural European Conference on Computer Vision was held in Antibes, France. Since then, ECCV has been held biennially under the auspices of the European Vision Society at venues around Europe. This year, the privilege of organizing ECCV 2000 falls to Ireland and it is a signal honour for us to host what has become one of the most important events in the calendar of the computer vision community. ECCV is a single-track conference comprising the highest quality, previously unpublished, contributed papers on new and original research in computer vision. This year, 266 papers were submitted and, following a rigorous double-blind review process, with each paper being reviewed by three referees, 116 papers were selected by the Programme Committee for presentation at the conference. The venue for ECCV 2000 is the University of Dublin, Trinity College. - unded in 1592, it is Ireland's oldest university and has a proud tradition of scholarship in the Arts, Humanities, and Sciences, alike. The Trinity campus, set in the heart of Dublin, is an oasis of tranquility and its beautiful squares, elegant buildings, and tree-lined playing- elds provide the perfect setting for any conference.

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.