An Automatic Animal Like Face And Object Recognition System
DOWNLOAD
Download An Automatic Animal Like Face And Object Recognition System PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get An Automatic Animal Like Face And Object Recognition System book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
An Automatic Animal Like Face And Object Recognition System
DOWNLOAD
Author : Colin Hearne Evans
language : en
Publisher:
Release Date : 1999
An Automatic Animal Like Face And Object Recognition System written by Colin Hearne Evans and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Human face recognition (Computer science) categories.
Dynamic Vision From Images To Face Recognition
DOWNLOAD
Author : Shaogang Gong
language : en
Publisher: World Scientific
Release Date : 2000-05-11
Dynamic Vision From Images To Face Recognition written by Shaogang Gong and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-05-11 with Computers categories.
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.
Animal Biometrics
DOWNLOAD
Author : Santosh Kumar
language : en
Publisher: Springer
Release Date : 2018-03-16
Animal Biometrics written by Santosh Kumar and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-16 with Computers categories.
This book presents state-of-the-art methodologies and a comprehensive introduction to the recognition and representation of species and individual animals based on their physiological and phenotypic appearances, biometric characteristics, and morphological image patterns. It provides in-depth coverage of this emerging area, with an emphasis on the design and analysis techniques used in visual animal biometrics-based recognition systems. The book offers a comprehensive introduction to visual animal biometrics, addressing a range of recent advances and practices like sensing, feature extraction, feature selection and representation, matching, indexing of feature sets, and animal biometrics-based multimodal systems. It provides authoritative information on all the major concepts, as well as highly specific topics, e.g. the identification of cattle based on their muzzle point image pattern and face images to prevent false insurance claims, or the monitoring and registration of animals based on their biometric features. As such, the book provides a sound platform for understanding the Visual Animal Biometrics paradigm, a vital catalyst for researchers in the field, and a valuable guide for professionals. In addition, it can help both private and public organizations adapt and enhance their classical animal recognition systems.
Face Recognition
DOWNLOAD
Author : Harry Wechsler
language : en
Publisher: Springer
Release Date : 1998-09-17
Face Recognition written by Harry Wechsler and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-09-17 with Computers categories.
Proceedings of the NATO Advanced Study Institute on Face Recognition: From Theory to Applications, held in Stirling, Scotland, UK, June 23-July 4, 1997
Handbook Of Face Recognition
DOWNLOAD
Author : Stan Z. Li
language : en
Publisher: Springer Nature
Release Date : 2024-01-30
Handbook Of Face Recognition written by Stan Z. Li and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-30 with Computers categories.
The history of computer-aided face recognition dates to the 1960s, yet the problem of automatic face recognition – a task that humans perform routinely and effortlessly in our daily lives – still poses great challenges, especially in unconstrained conditions. 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 recognition systems. After a thorough introduction, each subsequent chapter focuses on a specific topic, reviewing background information, up-to-date techniques, and recent results, as well as offering challenges and future directions. Topics and features: Fully updated, revised, and expanded, covering the entire spectrum of concepts, methods, and algorithms for automated detection and recognition systems Provides comprehensive coverage of face detection, 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 from person verification, surveillance, and security, to entertainment Presents contributions from an international selection of preeminent experts Integrates numerous supporting graphs, tables, charts, and performance data This practical and authoritative reference is an essential resource for researchers, professionals and students involved in image processing, computer vision, biometrics, security, Internet, mobile devices, human-computer interface, E-services, computer graphics and animation, and the computer game industry.
The Pocket Guide To Neuroscience For Clinicians Norton Series On Interpersonal Neurobiology
DOWNLOAD
Author : Louis Cozolino
language : en
Publisher: W. W. Norton & Company
Release Date : 2020-05-05
The Pocket Guide To Neuroscience For Clinicians Norton Series On Interpersonal Neurobiology written by Louis Cozolino and has been published by W. W. Norton & Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-05 with Psychology categories.
A brief guide to the most important neuroscience concepts for all mental health professionals. Louis Cozolino helps clinicians to broaden their thinking and deepen their clinical toolbox through an understanding of neuroscience, brain development, epigenetics, and the role of attachment in brain development and behavior. The effective therapist must have knowledge of evolution and neuroanatomy, as well as the systems of our brains and how they work together to give rise to who we are, how we thrive, and why we suffer. This book will give clinicians all they need to understand the social brain, the developing brain, the executive brain, consciousness, attachment, trauma, memory, and the latest information about clinical assessment. Key figures and terms of neuroscience, along with numerous case examples, bring the material to life. Cozolino is one of the most gifted clinical writers on neuroscience, and his long- awaited pocket guide is a must- buy for any clinician working on the cutting edge of treatment.
Hands On Transfer Learning With Python
DOWNLOAD
Author : Dipanjan Sarkar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-08-31
Hands On Transfer Learning With Python written by Dipanjan Sarkar and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-31 with Computers categories.
Deep learning simplified by taking supervised, unsupervised, and reinforcement learning to the next level using the Python ecosystem Key Features Build deep learning models with transfer learning principles in Python implement transfer learning to solve real-world research problems Perform complex operations such as image captioning neural style transfer Book Description Transfer learning is a machine learning (ML) technique where knowledge gained during training a set of problems can be used to solve other similar problems. The purpose of this book is two-fold; firstly, we focus on detailed coverage of deep learning (DL) and transfer learning, comparing and contrasting the two with easy-to-follow concepts and examples. The second area of focus is real-world examples and research problems using TensorFlow, Keras, and the Python ecosystem with hands-on examples. The book starts with the key essential concepts of ML and DL, followed by depiction and coverage of important DL architectures such as convolutional neural networks (CNNs), deep neural networks (DNNs), recurrent neural networks (RNNs), long short-term memory (LSTM), and capsule networks. Our focus then shifts to transfer learning concepts, such as model freezing, fine-tuning, pre-trained models including VGG, inception, ResNet, and how these systems perform better than DL models with practical examples. In the concluding chapters, we will focus on a multitude of real-world case studies and problems associated with areas such as computer vision, audio analysis and natural language processing (NLP). By the end of this book, you will be able to implement both DL and transfer learning principles in your own systems. What you will learn Set up your own DL environment with graphics processing unit (GPU) and Cloud support Delve into transfer learning principles with ML and DL models Explore various DL architectures, including CNN, LSTM, and capsule networks Learn about data and network representation and loss functions Get to grips with models and strategies in transfer learning Walk through potential challenges in building complex transfer learning models from scratch Explore real-world research problems related to computer vision and audio analysis Understand how transfer learning can be leveraged in NLP Who this book is for Hands-On Transfer Learning with Python is for data scientists, machine learning engineers, analysts and developers with an interest in data and applying state-of-the-art transfer learning methodologies to solve tough real-world problems. Basic proficiency in machine learning and Python is required.
Face Recognition
DOWNLOAD
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.
Machine Learning For Human Motion Analysis Theory And Practice
DOWNLOAD
Author : Wang, Liang
language : en
Publisher: IGI Global
Release Date : 2009-12-31
Machine Learning For Human Motion Analysis Theory And Practice written by Wang, Liang and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-12-31 with Computers categories.
"This book highlights the development of robust and effective vision-based motion understanding systems, addressing specific vision applications such as surveillance, sport event analysis, healthcare, video conferencing, and motion video indexing and retrieval"--Provided by publisher.
Computer Vision Eccv 2008
DOWNLOAD
Author : David Forsyth
language : en
Publisher: Springer
Release Date : 2008-10-11
Computer Vision Eccv 2008 written by David Forsyth and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-10-11 with Computers categories.
Welcome to the 2008EuropeanConference onComputer Vision. These proce- ings are the result of a great deal of hard work by many people. To produce them, a total of 871 papers were reviewed. Forty were selected for oral pres- tation and 203 were selected for poster presentation, yielding acceptance rates of 4.6% for oral, 23.3% for poster, and 27.9% in total. Weappliedthreeprinciples.First,sincewehadastronggroupofAreaChairs, the ?nal decisions to accept or reject a paper rested with the Area Chair, who wouldbeinformedbyreviewsandcouldactonlyinconsensuswithanotherArea Chair. Second, we felt that authors were entitled to a summary that explained how the Area Chair reached a decision for a paper. Third, we were very careful to avoid con?icts of interest. Each paper was assigned to an Area Chair by the Program Chairs, and each Area Chair received a pool of about 25 papers. The Area Chairs then identi?ed and rankedappropriatereviewersfor eachpaper in their pool, and a constrained optimization allocated three reviewers to each paper. We are very proud that every paper received at least three reviews. At this point, authors were able to respond to reviews. The Area Chairs then needed to reach a decision. We used a series of procedures to ensure careful review and to avoid con?icts of interest. ProgramChairs did not submit papers. The Area Chairs were divided into three groups so that no Area Chair in the group was in con?ict with any paper assigned to any Area Chair in the group.