Applied Pattern Recognition

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Publisher : Springer Science & Business Media
ISBN 13 : 3540768300
Total Pages : 251 pages
Book Rating : 4.02/5 ( 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 Science & Business Media. This book was released on 2008-04-11 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.

Practical Machine Learning and Image Processing

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Publisher : Apress
ISBN 13 : 1484241495
Total Pages : 177 pages
Book Rating : 4.93/5 ( 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.

The Development of Face Processing

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Publisher : Hogrefe & Huber Publishing
ISBN 13 :
Total Pages : 168 pages
Book Rating : 4.11/5 ( download)

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Book Synopsis The Development of Face Processing by : Gudrun Schwarzer

Download or read book The Development of Face Processing written by Gudrun Schwarzer and published by Hogrefe & Huber Publishing. This book was released on 2003 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book draws together, for the first time, the latest scientific findings from leading international researchers on how face recognition develops. It is only in recent years that methods acceptable in experimental psychology have been developed for studying this vital and unique process. While other publications have concentrated on computer modeling and of face processing and the like, this one is unique in that it looks at fundamental (and so far unanswered) questions such as: What are the roots of and reasons for our ability to recognize faces? How much of this ability is learned and how much innate? By connecting studies on face processing in infancy with those on the development of face processing, it thus bridges the gap between face processing research and visual perceptual development. Leading researchers from USA and Europe who have conducted pioneering work in these domains describe results and anticipate future inquiry, covering topics such as fundamental cognitive abilities in infancy, development of face processing from infancy to adulthood, and the effects of expertise on face recognition.

Face Processing: Advanced Modeling and Methods

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Publisher : Elsevier
ISBN 13 : 0080488846
Total Pages : 755 pages
Book Rating : 4.44/5 ( download)

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Book Synopsis Face Processing: Advanced Modeling and Methods by : Wenyi Zhao

Download or read book Face Processing: Advanced Modeling and Methods written by Wenyi Zhao and published by Elsevier. This book was released on 2011-07-28 with total page 755 pages. Available in PDF, EPUB and Kindle. Book excerpt: Major strides have been made in face processing in the last ten years due to the fast growing need for security in various locations around the globe. A human eye can discern the details of a specific face with relative ease. It is this level of detail that researchers are striving to create with ever evolving computer technologies that will become our perfect mechanical eyes. The difficulty that confronts researchers stems from turning a 3D object into a 2D image. That subject is covered in depth from several different perspectives in this volume. Face Processing: Advanced Modeling and Methods begins with a comprehensive introductory chapter for those who are new to the field. A compendium of articles follows that is divided into three sections. The first covers basic aspects of face processing from human to computer. The second deals with face modeling from computational and physiological points of view. The third tackles the advanced methods, which include illumination, pose, expression, and more. Editors Zhao and Chellappa have compiled a concise and necessary text for industrial research scientists, students, and professionals working in the area of image and signal processing. Contributions from over 35 leading experts in face detection, recognition and image processing Over 150 informative images with 16 images in FULL COLOR illustrate and offer insight into the most up-to-date advanced face processing methods and techniques Extensive detail makes this a need-to-own book for all involved with image and signal processing

Face Analysis, Modeling and Recognition Systems

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Publisher : BoD – Books on Demand
ISBN 13 : 9533077387
Total Pages : 228 pages
Book Rating : 4.83/5 ( download)

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Book Synopsis Face Analysis, Modeling and Recognition Systems by : Tudor Barbu

Download or read book Face Analysis, Modeling and Recognition Systems written by Tudor Barbu and published by BoD – Books on Demand. This book was released on 2011-10-03 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book, entitled Face Analysis, Modeling and Recognition Systems is to provide a concise and comprehensive coverage of artificial face recognition domain across four major areas of interest: biometrics, robotics, image databases and cognitive models. Our book aims to provide the reader with current state-of-the-art in these domains. The book is composed of 12 chapters which are grouped in four sections. The chapters in this book describe numerous novel face analysis techniques and approach many unsolved issues. The authors who contributed to this book work as professors and researchers at important institutions across the globe, and are recognized experts in the scientific fields approached here. The topics in this book cover a wide range of issues related to face analysis and here are offered many solutions to open issues. We anticipate that this book will be of special interest to researchers and academics interested in computer vision, biometrics, image processing, pattern recognition and medical diagnosis.

Handbook of Face Recognition

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Publisher : Springer Science & Business Media
ISBN 13 : 0857299328
Total Pages : 694 pages
Book Rating : 4.21/5 ( download)

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Book Synopsis Handbook of Face Recognition by : Stan Z. Li

Download or read book Handbook of Face Recognition written by Stan Z. Li and published by Springer Science & Business Media. This book was released on 2011-08-22 with total page 694 pages. Available in PDF, EPUB and Kindle. Book excerpt: This highly anticipated new edition provides a comprehensive account of face recognition research and technology, spanning the full range of topics needed for designing operational face recognition systems. After a thorough introductory chapter, each of the following chapters focus on a specific topic, reviewing background information, up-to-date techniques, and recent results, as well as offering challenges and future directions. Features: fully updated, revised and expanded, covering the entire spectrum of concepts, methods, and algorithms for automated face detection and recognition systems; provides comprehensive coverage of face detection, tracking, alignment, feature extraction, and recognition technologies, and issues in evaluation, systems, security, and applications; contains numerous step-by-step algorithms; describes a broad range of applications; presents contributions from an international selection of experts; integrates numerous supporting graphs, tables, charts, and performance data.

Face Recognition Across the Imaging Spectrum

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Publisher : Springer
ISBN 13 : 3319285017
Total Pages : 388 pages
Book Rating : 4.16/5 ( download)

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Book Synopsis Face Recognition Across the Imaging Spectrum by : Thirimachos Bourlai

Download or read book Face Recognition Across the Imaging Spectrum written by Thirimachos Bourlai and published by Springer. This book was released on 2016-02-12 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This authoritative text/reference presents a comprehensive review of algorithms and techniques for face recognition (FR), with an emphasis on systems that can be reliably used in operational environments. Insights are provided by an international team of pre-eminent experts into the processing of multispectral and hyperspectral face images captured under uncontrolled environments. These discussions cover a variety of imaging sensors ranging from state-of-the-art visible and infrared imaging sensors, to RGB-D and mobile phone image sensors. A range of different biometric modalities are also examined, including face, periocular and iris. This timely volume is a mine of useful information for researchers, practitioners and students involved in image processing, computer vision, biometrics and security.

Dynamic Vision: From Images To Face Recognition

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Publisher : World Scientific
ISBN 13 : 1911298917
Total Pages : 364 pages
Book Rating : 4.15/5 ( download)

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Book Synopsis Dynamic Vision: From Images To Face Recognition by : Shaogang Gong

Download or read book Dynamic Vision: From Images To Face Recognition written by Shaogang Gong and published by World Scientific. This book was released on 2000-05-11 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Face recognition is a task that the human vision system seems to perform almost effortlessly, yet the goal of building computer-based systems with comparable capabilities has proven to be difficult. The task implicitly requires the ability to locate and track faces through often complex and dynamic scenes. Recognition is difficult because of variations in factors such as lighting conditions, viewpoint, body movement and facial expression. Although evidence from psychophysical and neurobiological experiments provides intriguing insights into how we might code and recognise faces, its bearings on computational and engineering solutions are far from clear. The study of face recognition has had an almost unique impact on computer vision and machine learning research at large. It raises many challenging issues and provides a good vehicle for examining some difficult problems in vision and learning. Many of the issues raised are relevant to object recognition in general.This book describes the latest models and algorithms that are capable of performing face recognition in a dynamic setting. The key question is how to design computer vision and machine learning algorithms that can operate robustly and quickly under poorly controlled and changing conditions. Consideration of face recognition as a problem in dynamic vision is perhaps both novel and important. The algorithms described have numerous potential applications in areas such as visual surveillance, verification, access control, video-conferencing, multimedia and visually mediated interaction.The book will be of special interest to researchers and academics involved in machine vision, visual recognition and machine learning. It should also be of interest to industrial research scientists and managers keen to exploit this emerging technology and develop automated face and human recognition systems. It is also useful to postgraduate students studying computer science, electronic engineering, information or systems engineering, and cognitive psychology.

Advances in Face Image Analysis

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Publisher : Bentham Science Publishers
ISBN 13 : 1681081105
Total Pages : 264 pages
Book Rating : 4.06/5 ( 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.

The Cognitive Neuroscience of Face Processing

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Publisher : Psychology Press
ISBN 13 : 9780863776144
Total Pages : 312 pages
Book Rating : 4.40/5 ( download)

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Book Synopsis The Cognitive Neuroscience of Face Processing by : Nancy Kanwisher

Download or read book The Cognitive Neuroscience of Face Processing written by Nancy Kanwisher and published by Psychology Press. This book was released on 2000 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: This special issue showcases new findings from many investigators in this field in studies that use a wide range of experimental techniques including brain imaging, ERPs, patient studies, and single-unit recording in monkeys.