Face Recognition For Real Time Application

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Face Recognition for Real Time Application

Author : Pradeep Kakkar
Publisher : Grin Publishing
ISBN 13 : 9783668580077
Total Pages : 104 pages
Book Rating : 4.5/5 (8 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 Publishing. This book was released on 2017-11-27 with total page 104 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,

Face Recognition

Author : Harry Wechsler
Publisher : Springer Science & Business Media
ISBN 13 : 3642722016
Total Pages : 645 pages
Book Rating : 4.6/5 (427 download)

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Book Synopsis Face Recognition by : Harry Wechsler

Download or read book Face Recognition written by Harry Wechsler and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 645 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Soft Computing for Recognition Based on Biometrics

Author : Patricia Melin
Publisher : Springer Science & Business Media
ISBN 13 : 3642151108
Total Pages : 449 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Soft Computing for Recognition Based on Biometrics by : Patricia Melin

Download or read book Soft Computing for Recognition Based on Biometrics written by Patricia Melin and published by Springer Science & Business Media. This book was released on 2010-09-20 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes bio-inspired models and applications of hybrid intelligent systems using soft computing techniques for image analysis and pattern recognition based on biometrics and other sources. Each section groups papers on a similar subject.

Face Recognition Technique

Author : Manisha Urkude
Publisher :
ISBN 13 : 9781515183709
Total Pages : 222 pages
Book Rating : 4.1/5 (837 download)

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Book Synopsis Face Recognition Technique by : Manisha Urkude

Download or read book Face Recognition Technique written by Manisha Urkude and published by . This book was released on 2015-07-31 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Face recognition become very interesting topic of research because of lot of unsolved parameters. From past few decades number of researchers work on the topic to solve the problem of face recognition but still successful face recognition system is not yet implemented hence we proposed face recognition algorithm that match face matrix. As discuss face is nothing but a matrix so using MATLAB software we do matrix manipulation and try to find best possible features for face recognition. In law enforcement and lot of commercial applications, such as in the area of access control systems, national identity, video surveillance, user authentication and retrieval of identity from a data base for criminal investigations face recognition play very important roll but due to challenging problem in real time applications it is not so user friendly. We take look on many unsolved parameters, such as face illumination, expression, pose, scale, low resolution, partial face (occlusion) and other environmental conditions, night video footage and day video footage. However, different pose and occlusion remains as major challenges in face recognition and these two problems affect the performance of face recognition in access control, authentication, and surveillance applications. To meet these challenges, the present study proposed a face recognition system using the analytical approach in which centre of two eye i.e. forehead used for feature extraction.In existing methods of analytical face recognition systems, features like eyes, nose, mouth where used as feature point but in proposed system we used forehead region maximum face recognition rate is 80% using Lab view software. In proposed analytical approach of face recognition, no any work has been done using above mention features but by using different features very little work had done.In literature study maximum recognition rate of analytical, holistic and hybrid approach is below 84% using different face database. In proposed SKM forehead feature work enhancement in recognition rates to 86% and require less time and also solve two big challenges half occlusion and different pose.Facial recognition system is a most useful computer application or device that can identify individuals based on their unique facial characteristics. Unlike many other biometric identification methods (e.g., fingerprints, voiceprint, speech), this can be advantageous in clean environments, for surveillance or tracking, and in automation systems. Because the system keeps a reference model of the individual, and captures their image for identification. They may also be more error-prone when identifying individuals, due to the fairly recent development of the technology.As we know lot of literature available on websites, books, journal etc, we consider international and national paper survey for primary source of data. Various algorithm studies is done from this information collected analysis will be done using various parameters to achieve the basic objective. Study of most popular appearance based face recognition projection methods and detailed descriptions of each module are studied.Our ID cards, passwords can be lost but face is connected part of our body so he/she can be verified with the help of their face. Recently face recognition is attracting much attention in the society of network multimedia information access & also for security purpose. We are providing an up-to-date critical survey of image - and video-based face recognition research. There are two things for us to write this thesis first is to provide an up-to-date review of the existing literature available on net, and the second is to offer some insights into the studies of machine recognition of faces using software. We conclude the thesis with proposed KSM algorithm that helps the government and private sector for security purpose.

Face Detection and Recognition on Mobile Devices

Author : Haowei Liu
Publisher : Elsevier
ISBN 13 : 0124171281
Total Pages : 45 pages
Book Rating : 4.1/5 (241 download)

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Book Synopsis Face Detection and Recognition on Mobile Devices by : Haowei Liu

Download or read book Face Detection and Recognition on Mobile Devices written by Haowei Liu and published by Elsevier. This book was released on 2014-11-25 with total page 45 pages. Available in PDF, EPUB and Kindle. Book excerpt: This hands-on guide gives an overview of computer vision and enables engineers to understand the implications and challenges behind mobile platform design choices. Using face-related algorithms as examples, the author surveys and illustrates how design choices and algorithms can be geared towards developing power-saving and efficient applications on resource constrained mobile platforms. Presents algorithms for face detection and recognition Explains applications of facial technologies on mobile devices Includes an overview of other computer vision technologies

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.

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

Computer Vision: Concepts, Methodologies, Tools, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1522552057
Total Pages : 2494 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Computer Vision: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources

Download or read book Computer Vision: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2018-02-02 with total page 2494 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fields of computer vision and image processing are constantly evolving as new research and applications in these areas emerge. Staying abreast of the most up-to-date developments in this field is necessary in order to promote further research and apply these developments in real-world settings. Computer Vision: Concepts, Methodologies, Tools, and Applications is an innovative reference source for the latest academic material on development of computers for gaining understanding about videos and digital images. Highlighting a range of topics, such as computational models, machine learning, and image processing, this multi-volume book is ideally designed for academicians, technology professionals, students, and researchers interested in uncovering the latest innovations in the field.

Real Time Face Matching with Multiple Cameras Using Principal Component Analysis

Author : Andrew Mullen
Publisher :
ISBN 13 :
Total Pages : 125 pages
Book Rating : 4.:/5 (743 download)

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Book Synopsis Real Time Face Matching with Multiple Cameras Using Principal Component Analysis by : Andrew Mullen

Download or read book Real Time Face Matching with Multiple Cameras Using Principal Component Analysis written by Andrew Mullen and published by . This book was released on 2006 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Face recognition is a rapidly advancing research topic due to the large number of applications that can benefit from it. Face recognition consists of determining whether a known face is present in an image and is typically composed of four distinct steps. These steps are face detection, face alignment, feature extraction, and face classification. The leading application for face recognition is video surveillance. The majority of current research in face recognition has focused on determining if a face is present in an image, and if so, which subject in a known database is the closest match. This thesis deals with face matching, which is a subset of face recognition, focusing on face identification, yet it is an area where little research has been done. The objective of face matching is to determine, in real-time, the degree of confidence to which a live subject matches a facial image. Applications for face matching include video surveillance, determination of identification credentials, computer-human interfaces, and communications security. The method proposed here employs principal component analysis to create a method of face matching which is both computationally efficient and accurate. This method is integrated into a real time system that is based upon a two camera setup. it is able to scan the room, detect faces, and zoom in for a high quality capture of the facial features. The image capture is used in a face matching process to determine if the person found is the desired target. The performance of the system is analyzed based upon the matching accuracy for 10 unique subjects"--Abstract.

Enabling Real-Time Mobile Cloud Computing through Emerging Technologies

Author : Soyata, Tolga
Publisher : IGI Global
ISBN 13 : 1466686634
Total Pages : 420 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Enabling Real-Time Mobile Cloud Computing through Emerging Technologies by : Soyata, Tolga

Download or read book Enabling Real-Time Mobile Cloud Computing through Emerging Technologies written by Soyata, Tolga and published by IGI Global. This book was released on 2015-07-25 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today's smartphones utilize a rapidly developing range of sophisticated applications, pushing the limits of mobile processing power. The increased demand for cell phone applications has necessitated the rise of mobile cloud computing, a technological research arena which combines cloud computing, mobile computing, and wireless networks to maximize the computational and data storage capabilities of mobile devices. Enabling Real-Time Mobile Cloud Computing through Emerging Technologies is an authoritative and accessible resource that incorporates surveys, tutorials, and the latest scholarly research on cellular technologies to explore the latest developments in mobile and wireless computing technologies. With its exhaustive coverage of emerging techniques, protocols, and computational structures, this reference work is an ideal tool for students, instructors, and researchers in the field of telecommunications. This reference work features astute articles on a wide range of current research topics including, but not limited to, architectural communication components (cloudlets), infrastructural components, secure mobile cloud computing, medical cloud computing, network latency, and emerging open source structures that optimize and accelerate smartphones.

Handbook of Face Recognition

Author : Stan Z. Li
Publisher : Springer Science & Business Media
ISBN 13 : 9780387405957
Total Pages : 428 pages
Book Rating : 4.4/5 (59 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 2005-03-15 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.

Perception and Machine Intelligence

Author : Malay K. Kundu
Publisher : Springer
ISBN 13 : 3642273874
Total Pages : 394 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Perception and Machine Intelligence by : Malay K. Kundu

Download or read book Perception and Machine Intelligence written by Malay K. Kundu and published by Springer. This book was released on 2012-01-12 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the First Indo-Japanese conference on Perception and Machine Intelligence, PerMIn 2012, held in Kolkata, India, in January 2012. The 41 papers, presented together with 1 keynote paper and 3 plenary papers, were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections named perception; human-computer interaction; e-nose and e-tongue; machine intelligence and application; image and video processing; and speech and signal processing.

REALTIME APPLICATIONS OF DEEP LEARNING

Author : Radhika Chukkapalli
Publisher : Archers & Elevators Publishing House
ISBN 13 : 8119385314
Total Pages : 58 pages
Book Rating : 4.1/5 (193 download)

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Book Synopsis REALTIME APPLICATIONS OF DEEP LEARNING by : Radhika Chukkapalli

Download or read book REALTIME APPLICATIONS OF DEEP LEARNING written by Radhika Chukkapalli and published by Archers & Elevators Publishing House. This book was released on with total page 58 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Boosting-Based Face Detection and Adaptation

Author : Matthieu Salzmann
Publisher : Springer Nature
ISBN 13 : 3031018095
Total Pages : 132 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Boosting-Based Face Detection and Adaptation by : Matthieu Salzmann

Download or read book Boosting-Based Face Detection and Adaptation written by Matthieu Salzmann and published by Springer Nature. This book was released on 2022-06-01 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: Face detection, because of its vast array of applications, is one of the most active research areas in computer vision. In this book, we review various approaches to face detection developed in the past decade, with more emphasis on boosting-based learning algorithms. We then present a series of algorithms that are empowered by the statistical view of boosting and the concept of multiple instance learning. We start by describing a boosting learning framework that is capable to handle billions of training examples. It differs from traditional bootstrapping schemes in that no intermediate thresholds need to be set during training, yet the total number of negative examples used for feature selection remains constant and focused (on the poor performing ones). A multiple instance pruning scheme is then adopted to set the intermediate thresholds after boosting learning. This algorithm generates detectors that are both fast and accurate. We then present two multiple instance learning schemes for face detection, multiple instance learning boosting (MILBoost) and winner-take-all multiple category boosting (WTA-McBoost). MILBoost addresses the uncertainty in accurately pinpointing the location of the object being detected, while WTA-McBoost addresses the uncertainty in determining the most appropriate subcategory label for multiview object detection. Both schemes can resolve the ambiguity of the labeling process and reduce outliers during training, which leads to improved detector performances. In many applications, a detector trained with generic data sets may not perform optimally in a new environment. We propose detection adaption, which is a promising solution for this problem. We present an adaptation scheme based on the Taylor expansion of the boosting learning objective function, and we propose to store the second order statistics of the generic training data for future adaptation. We show that with a small amount of labeled data in the new environment, the detector's performance can be greatly improved. We also present two interesting applications where boosting learning was applied successfully. The first application is face verification for filtering and ranking image/video search results on celebrities. We present boosted multi-task learning (MTL), yet another boosting learning algorithm that extends MILBoost with a graphical model. Since the available number of training images for each celebrity may be limited, learning individual classifiers for each person may cause overfitting. MTL jointly learns classifiers for multiple people by sharing a few boosting classifiers in order to avoid overfitting. The second application addresses the need of speaker detection in conference rooms. The goal is to find who is speaking, given a microphone array and a panoramic video of the room. We show that by combining audio and visual features in a boosting framework, we can determine the speaker's position very accurately. Finally, we offer our thoughts on future directions for face detection. Table of Contents: A Brief Survey of the Face Detection Literature / Cascade-based Real-Time Face Detection / Multiple Instance Learning for Face Detection / Detector Adaptation / Other Applications / Conclusions and Future Work

Face Processing: Advanced Modeling and Methods

Author : Wenyi Zhao
Publisher : Elsevier
ISBN 13 : 0080488846
Total Pages : 755 pages
Book Rating : 4.0/5 (84 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

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.

Facial Analysis from Continuous Video with Applications to Human-Computer Interface

Author : Antonio J. Colmenarez
Publisher : Springer Science & Business Media
ISBN 13 : 140207803X
Total Pages : 150 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Facial Analysis from Continuous Video with Applications to Human-Computer Interface by : Antonio J. Colmenarez

Download or read book Facial Analysis from Continuous Video with Applications to Human-Computer Interface written by Antonio J. Colmenarez and published by Springer Science & Business Media. This book was released on 2005-12-17 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer vision algorithms for the analysis of video data are obtained from a camera aimed at the user of an interactive system. It is potentially useful to enhance the interface between users and machines. These image sequences provide information from which machines can identify and keep track of their users, recognize their facial expressions and gestures, and complement other forms of human-computer interfaces. Facial Analysis from Continuous Video with Applications to Human-Computer Interfaces presents a learning technique based on information-theoretic discrimination which is used to construct face and facial feature detectors. This book also describes a real-time system for face and facial feature detection and tracking in continuous video. Finally, this book presents a probabilistic framework for embedded face and facial expression recognition from image sequences. Facial Analysis from Continuous Video with Applications to Human-Computer Interfaces is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science and engineering.