Face Analysis Modeling And Recognition Systems

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Face Analysis Modeling And Recognition Systems
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Author : Tudor Barbu
language : en
Publisher: BoD – Books on Demand
Release Date : 2011-10-03
Face Analysis Modeling And Recognition Systems written by Tudor Barbu and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-03 with Computers categories.
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.
Face Analysis Modeling And Recognition Systems
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Author : Brygida Cullen
language : en
Publisher:
Release Date : 1916-04
Face Analysis Modeling And Recognition Systems written by Brygida Cullen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1916-04 with Computer vision categories.
"Face recognition is a type of biometric software application that can identify a specific individual in a digital image by analysing and comparing patterns. A facial recognition system is a computer application capable of identifying or verifying a person from a digital image or a video frame from a video source. One of the ways to do this is by comparing selected facial features from the image and a facial database. Facial recognition systems are commonly used for security purposes but are increasingly being used in a variety of other applications. In addition to being used for security systems, establishments have found a number of other applications for facial recognition systems. Some facial recognition algorithms identify facial features by extracting landmarks, or features, from an image of the subject's face. For instance, an algorithm may analyse the relative position, size, and/or shape of the eyes, nose, cheekbones, and jaw. These features are then used to search for other images with matching features. Other algorithms normalize a gallery of face images and then compress the face data, only saving the data in the image that is useful for face recognition. A probe image is then compared with the face data. One of the earliest successful systems is based on template matching techniques applied to a set of salient facial features, providing a sort of compressed face representation. The book named Face Analysis, Modeling and Recognition Systems offers a concise and inclusive analysis of artificial face recognition domain through major areas of interest: biometrics, robotics, image databases and cognitive models. The topics in this book describe numerous novel face analysis techniques and approach many unsolved issues. It will be of special interest to academics and researchers interested in computer vision, biometrics, image processing, pattern recognition and medical diagnosis."
Face Analysis Modeling And Recognition Systems
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Author : Tudor Barbu
language : en
Publisher:
Release Date : 2011
Face Analysis Modeling And Recognition Systems written by Tudor Barbu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.
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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Author : Stan Z. Li
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-12-06
Handbook Of Face Recognition written by Stan Z. Li and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-12-06 with Computers categories.
Although the history of computer-aided face recognition stretches back to the 1960s, automatic face recognition remains an unsolved problem and still offers a great challenge to computer-vision and pattern recognition researchers. This handbook is a comprehensive account of face recognition research and technology, written by a group of leading international researchers. Twelve chapters cover all the sub-areas and major components for designing operational face recognition systems. Background, modern techniques, recent results, and challenges and future directions are considered. The book is aimed at practitioners and professionals planning to work in face recognition or wanting to become familiar with the state-of- the-art technology. A comprehensive handbook, by leading research authorities, on the concepts, methods, and algorithms for automated face detection and recognition. Essential reference resource for researchers and professionals in biometric security, computer vision, and video image analysis.
Face Recognition
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Author : S. Ramakrishnan
language : en
Publisher: BoD – Books on Demand
Release Date : 2016-07-06
Face Recognition written by S. Ramakrishnan and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-06 with Computers categories.
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.
Advances In Neural Networks Research
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Author : D.C. Wunsch II
language : en
Publisher: Elsevier
Release Date : 2003-08-22
Advances In Neural Networks Research written by D.C. Wunsch II and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-08-22 with Computers categories.
IJCNN is the flagship conference of the INNS, as well as the IEEE Neural Networks Society. It has arguably been the preeminent conference in the field, even as neural network conferences have proliferated and specialized. As the number of conferences has grown, its strongest competition has migrated away from an emphasis on neural networks. IJCNN has embraced the proliferation of spin-off and related fields (see the topic list, below), while maintaining a core emphasis befitting its name. It has also succeeded in enforcing an emphasis on quality.
Sentiment Analysis And Deep Learning
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Author : Subarna Shakya
language : en
Publisher: Springer Nature
Release Date : 2023-01-01
Sentiment Analysis And Deep Learning written by Subarna Shakya and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-01 with Technology & Engineering categories.
This book gathers selected papers presented at International Conference on Sentimental Analysis and Deep Learning (ICSADL 2022), jointly organized by Tribhuvan University, Nepal and Prince of Songkla University, Thailand during 16 – 17 June, 2022. The volume discusses state-of-the-art research works on incorporating artificial intelligence models like deep learning techniques for intelligent sentiment analysis applications. Emotions and sentiments are emerging as the most important human factors to understand the prominent user-generated semantics and perceptions from the humongous volume of user-generated data. In this scenario, sentiment analysis emerges as a significant breakthrough technology, which can automatically analyze the human emotions in the data-driven applications. Sentiment analysis gains the ability to sense the existing voluminous unstructured data and delivers a real-time analysis to efficiently automate the business processes.
Digital Media And Innovation
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Author : Richard A. Gershon
language : en
Publisher: Taylor & Francis
Release Date : 2024-03-26
Digital Media And Innovation written by Richard A. Gershon and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-26 with Business & Economics categories.
This fully updated second edition explores the importance of innovation and innovative thinking for the long-term success of today’s leading media, telecommunications, and information technology companies. The book takes an in-depth look at how smart, creative companies have transformed today's digital economy by introducing unique and highly differentiated products and services. This edition provides a detailed overview of intelligent networks and analyzes disruptive business models and processes from companies involved in social media, artificial intelligence, the metaverse, smart cities, and robotics among other emerging areas. From Apple to Zoom, this book considers some of the key people, companies, and strategies that have transformed the communication industries. Exploring the power of good ideas, this book goes inside the creative edge and looks at what makes such companies successful over time. Digital Media and Innovation is suited to advanced undergraduate and graduate courses in media management, media industries, communication technology, and business management and innovation, and provides up-to-date research for media and business professionals.
Modern Advancements In Surveillance Systems And Technologies
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Author : Darwish, Dina
language : en
Publisher: IGI Global
Release Date : 2024-11-27
Modern Advancements In Surveillance Systems And Technologies written by Darwish, Dina and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-27 with Political Science categories.
As surveillance technology evolves, it offers enhanced capabilities such as real-time data analysis, AI-driven monitoring, and improved accuracy in detecting potential threats. Understanding these innovations helps policymakers and organizations implement effective, ethical surveillance practices while safeguarding individual rights. Additionally, staying informed about the latest developments ensures that surveillance strategies can adapt to emerging challenges in cybersecurity, public safety, and data protection. Modern Advancements in Surveillance Systems and Technologies discusses the recent advancements in surveillance systems and the technologies implemented. It further addresses the implications for security, privacy, and ethical considerations in a rapidly evolving digital landscape. Covering topics such as automated home security, health surveillance, and vehicle detection, this book is an excellent resource for security professionals, policymakers, technology developers, academic researchers in cybersecurity and data privacy, law enforcement agencies, and legal experts interested in the ethical implications of surveillance technologies.
Face Recognition
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Author : Harry Wechsler
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Face Recognition written by Harry Wechsler and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
The NATO Advanced Study Institute (ASI) on Face Recognition: From Theory to Applications took place in Stirling, Scotland, UK, from June 23 through July 4, 1997. The meeting brought together 95 participants (including 18 invited lecturers) from 22 countries. The lecturers are leading researchers from academia, govemment, and industry from allover the world. The lecturers presented an encompassing view of face recognition, and identified trends for future developments and the means for implementing robust face recognition systems. The scientific programme consisted of invited lectures, three panels, and (oral and poster) presentations from students attending the AS!. As a result of lively interactions between the participants, the following topics emerged as major themes of the meeting: (i) human processing of face recognition and its relevance to forensic systems, (ii) face coding, (iii) connectionist methods and support vector machines (SVM), (iv) hybrid methods for face recognition, and (v) predictive learning and performance evaluation. The goals of the panels were to provide links among the lectures and to emphasis the themes of the meeting. The topics of the panels were: (i) How the human visual system processes faces, (ii) Issues in applying face recognition: data bases, evaluation and systems, and (iii) Classification issues involved in face recognition. The presentations made by students gave them an opportunity to receive feedback from the invited lecturers and suggestions for future work.