Face Analysis, Modeling and Recognition Systems

2011-10-03
 |  Computers
Face Analysis, Modeling and Recognition Systems

Author: Tudor Barbu

Publisher: BoD – Books on Demand

ISBN: 9789533077383

Category: Computers

Page: 228

View: 312

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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

1916-04
 |  Computer vision
Face Analysis, Modeling and Recognition Systems

Author: Brygida Cullen

Publisher:

ISBN: 1681172011

Category: Computer vision

Page: 0

View: 830

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"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."

Handbook of Face Recognition

2005-03-15
 |  Computers
Handbook of Face Recognition

Author: Stan Z. Li

Publisher: Springer Science & Business Media

ISBN: 038740595X

Category: Computers

Page: 428

View: 641

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"This authoritative handbook is the first to provide complete coverage of face recognition, including major established approaches, algorithms, systems, databases, evaluation methods, and applications. After a thorough introductory chapter from the editors, 15 chapters address the sub-areas and major components necessary for designing operational face recognition systems. Each chapter focuses on a specific topic, reviewing background information, reviewing up-to-date techniques, presenting results, and offering challenges and future directions." "This accessible, practical reference is an essential resource for scientists and engineers, practitioners, government officials, and students planning to work in image processing, computer vision, biometrics and security, Internet communications, computer graphics, animation, and the computer game industry."--BOOK JACKET.

Face Processing: Advanced Modeling and Methods

2011-07-28
 |  Computers
Face Processing: Advanced Modeling and Methods

Author: Wenyi Zhao

Publisher: Elsevier

ISBN: 0080488846

Category: Computers

Page: 768

View: 218

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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

Deep Learning Applications and Intelligent Decision Making in Engineering

2020-10-23
 |  Technology & Engineering
Deep Learning Applications and Intelligent Decision Making in Engineering

Author: Senthilnathan, Karthikrajan

Publisher: IGI Global

ISBN: 9781799821106

Category: Technology & Engineering

Page: 332

View: 924

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Deep learning includes a subset of machine learning for processing the unsupervised data with artificial neural network functions. The major advantage of deep learning is to process big data analytics for better analysis and self-adaptive algorithms to handle more data. When applied to engineering, deep learning can have a great impact on the decision-making process. Deep Learning Applications and Intelligent Decision Making in Engineering is a pivotal reference source that provides practical applications of deep learning to improve decision-making methods and construct smart environments. Highlighting topics such as smart transportation, e-commerce, and cyber physical systems, this book is ideally designed for engineers, computer scientists, programmers, software engineers, research scholars, IT professionals, academicians, and postgraduate students seeking current research on the implementation of automation and deep learning in various engineering disciplines.

Face processing in congenital prosopagnosia

2015-05-25
 | 
Face processing in congenital prosopagnosia

Author: Janina Esins

Publisher: Logos Verlag Berlin GmbH

ISBN: 9783832539832

Category:

Page: 137

View: 800

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Face recognition is one of the most important abilities for everyday social interactions. Congenital prosopagnosia, also referred to as "face blindness", describes the innate, lifelong impairment to recognize other people by their face. About 2 % of the population is affected. This thesis aimed to investigate different aspects of face processing in prosopagnosia in order to gain a clearer picture and a better understanding of this heterogeneous impairment. In a first study, various aspects of face recognition and perception were investigated to allow for a better understanding of the nature of prosopagnosia. The results replicated previous findings and helped to resolve discrepancies between former studies. In addition, it was found that prosopagnosics show an irregular response behavior in tests for holistic face recognition. We propose that prosopagnosics either switch between strategies or respond randomly when performing these tests. In a second study, the general face recognition deficit observed in prosopagnosia was compared to face recognition deficits occurring when dealing with other-race faces. Most humans find it hard to recognize faces of an unfamiliar race, a phenomenon called the "other-race effect". The study served to investigate if there is a possible common mechanism underlying prosopagnosia and the other-race effect, as both are characterized by problems in recognizing faces. The results allowed to reject this hypothesis, and yielded new insights about similarities and dissimilarities between prosopagnosia and the other-race effect. In the last study, a possible treatment of prosopagnosia was investigated. This was based on a single case in which a prosopagnosic reported a sudden improvement of her face recognition abilities after she started a special diet. The different studies cover diverse aspects of prosopagnosia: the nature of prosopagnosia and measurement of its characteristics, comparison to other face recognition impairments, and treatment options. The results serve to broaden the knowledge about prosopagnosia and to gain a more detailed picture of this impairment.

Face Detection and Modeling for Recognition

2002
 |  Biometry
Face Detection and Modeling for Recognition

Author: Rein-Lien Hsu

Publisher:

ISBN: MSU:31293023287950

Category: Biometry

Page: 356

View: 390

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Face recognition has received substantial attention from researchers in biometrics, computer vision, pattern recognition, and cognitive psychology communities because of the increased attention being devoted to security, man-machine communication, content-based image retrieval, and image/video coding. We have proposed two automated recognition paradigms to advance face recognition technology. Three major tasks involved in face recognition systems are: (i) face detection, (ii) face modeling, and (iii) face matching. We have developed a face detection algorithm for color images in the presence of various lighting conditions as well as complex backgrounds. Our detection method first corrects the color bias by a lighting compensation technique that automatically estimates the parameters of reference white for color correction. We overcame the difficulty of detecting the low-luma and high-luma skin tones by applying a nonlinear transformation to the Y CbCr color space. Our method generates face candidates based on the spatial arrangement of detected skin patches. We constructed eye, mouth, and face boundary maps to verify each face candidate. Experimental results demonstrate successful detection of faces with different sizes, color, position, scale, orientation, 3D pose, and expression in several photo collections. 3D human face models augment the appearance-based face recognition approaches to assist face recognition under the illumination and head pose variations. For the two proposed recognition paradigms, we have designed two methods for modeling human faces based on (i) a generic 3D face model and an individual's facial measurements of shape and texture captured in the frontal view, and (ii) alignment of a semantic face graph, derived from a generic 3D face model, onto a frontal face image.

Handbook of Research on Mathematical Modeling for Smart Healthcare Systems

2022-06-24
 |  Computers
Handbook of Research on Mathematical Modeling for Smart Healthcare Systems

Author: Samanta, Debabrata

Publisher: IGI Global

ISBN: 9781668445822

Category: Computers

Page: 503

View: 431

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Advances in healthcare technologies have offered real-time guidance and technical assistance for diagnosis, monitoring, operation, and interventions. The development of artificial intelligence, machine learning, internet of things technology, and smart computing techniques are crucial in today’s healthcare environment as they provide frictionless and transparent financial transactions and improve the overall healthcare experience. This, in turn, has far-reaching effects on economic, psychological, educational, and organizational improvements in the way we work, teach, learn, and provide care. These advances must be studied further in order to ensure they are adapted and utilized appropriately. The Handbook of Research on Mathematical Modeling for Smart Healthcare Systems presents the latest research findings, ideas, innovations, developments, and applications in the field of modeling for healthcare systems. Furthermore, it presents the application of innovative techniques to complex problems in the case of healthcare. Covering a range of topics such as artificial intelligence, deep learning, and personalized healthcare services, this reference work is crucial for engineers, healthcare professionals, researchers, academicians, scholars, practitioners, instructors, and students.

Computer Recognition Systems

2007-12-13
 |  Computers
Computer Recognition Systems

Author: Marek Kurzynski

Publisher: Springer Science & Business Media

ISBN: 9783540323907

Category: Computers

Page: 903

View: 666

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th This book contains papers accepted for presentation at the 4 International Conference on Computer Recognition Systems CORES'05, May 22-25, 2005, Rydzyna Castle (Poland), This conference is a continuation of a series of con ferences on similar topics (KOSYR) organized each second year, since 1999, by the Chair of Systems and Computer Networks, Wroclaw University of Tech nology. An increasing interest to those conferences paid not only by home but also by foreign participants inspired the organizers to transform them into conferences of international range. Our expectations that the community of specialists in computer recognizing systems will find CORES'05 a proper form of maintaining the tradition of the former conferences have been confirmed by a large number of submitted papers. Alas, organizational constraints caused a necessity to narrow the acceptance criteria so that only 100 papers have been finally included into the conference program. The area covered by accepted papers is still very large and it shows how vivacious is scientific activity in the domain of computer recognition methods and systems. It contains vari ous theoretical approaches to the recognition problem based on mathematical statistics, fuzzy sets, morphological methods, wavelets, syntactic methods, genetic algorithms, artificial neural networks, ontological models, etc. Most attention is still paid to visual objects recognition; however, acoustic, tex tual and other objects are also considered. Among application areas medical problems are in majority; recognition of faces, speech signals and textual in formation processing methods being also investigated.

Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013

2013-05-23
 |  Technology & Engineering
Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013

Author: Robert Burduk

Publisher: Springer Science & Business Media

ISBN: 9783319009698

Category: Technology & Engineering

Page: 901

View: 380

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The computer recognition systems are nowadays one of the most promising directions in artificial intelligence. This book is the most comprehensive study of this field. It contains a collection of 86 carefully selected articles contributed by experts of pattern recognition. It reports on current research with respect to both methodology and applications. In particular, it includes the following sections: Biometrics Data Stream Classification and Big Data Analytics Features, learning, and classifiers Image processing and computer vision Medical applications Miscellaneous applications Pattern recognition and image processing in robotics Speech and word recognition This book is a great reference tool for scientists who deal with the problems of designing computer pattern recognition systems. Its target readers can be the as well researchers as students of computer science, artificial intelligence or robotics.

Life System Modeling and Simulation

2007-08-30
 |  Computers
Life System Modeling and Simulation

Author: Minrui Fei

Publisher: Springer Science & Business Media

ISBN: 9783540747703

Category: Computers

Page: 579

View: 265

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This book is part of a two-volume work that constitutes the refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2007, held in Shanghai, China, September 2007. Coverage includes modeling and simulation of societies and collective behavior, computational methods and intelligence in biomechanical systems, tissue engineering and clinical bioengineering, computational intelligence in bioinformatics and biometrics, and brain stimulation.

Encyclopedia of Biometrics

2009-08-27
 |  Computers
Encyclopedia of Biometrics

Author: Stan Z. Li

Publisher: Springer Science & Business Media

ISBN: 9780387730028

Category: Computers

Page: 1466

View: 566

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With an A–Z format, this encyclopedia provides easy access to relevant information on all aspects of biometrics. It features approximately 250 overview entries and 800 definitional entries. Each entry includes a definition, key words, list of synonyms, list of related entries, illustration(s), applications, and a bibliography. Most entries include useful literature references providing the reader with a portal to more detailed information.