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.
This highly anticipated new edition of the Handbook of Face Recognition 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 26 chapters focus 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 face detection and recognition systems; examines the design of accurate, reliable, and secure face 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 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 the 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.
Handbook of Multibiometrics, a professional book, introduces multibiometric systems, and demonstrates the noteworthy advantages of these systems over their unimodal counterparts. In addition, this book describes in detail the various scenarios possible when fusing biometric evidence from multiple information sources.
This comprehensive volume on multibiometric systems, concisely and clearly outlines the different fusion methodologies that have been proposed by researchers to integrate multiple biometric traits.
*General principles and ideas of designing biometric-based systems and their underlying tradeoffs
*Identification of important issues in the evaluation of biometrics-based systems
*Integration of biometric cues, and the integration of biometrics with other existing technologies
*Assessment of the capabilities and limitations of different biometrics
*The comprehensive examination of biometric methods in commercial use and in research development
*Exploration of some of the numerous privacy and security implications of biometrics.
Also included are chapters on face and eye identification, speaker recognition, networking, and other timely technology-related issues. All chapters are written by leading internationally recognized experts from academia and industry.
Biometrics: Personal Identification in Networked Society is an invaluable work for scientists, engineers, application developers, systems integrators, and others working in biometrics.
The Handbook of Biometrics -- an edited volume contributed by prominent invited researchers in Biometrics -- describes the fundamentals as well as the latest advancements in the burgeoning field of biometrics. It is designed for professionals composed of practitioners and researchers in Biometrics, Pattern Recognition and Computer Security. The Handbook of Biometrics can be used as a primary textbook for an undergraduate biometrics class. This book is also suitable as a secondary textbook or reference for advanced-level students in computer science.
The 66 revised oral papers and 50 revised poster papers presented were carefully reviewed and selected from numerous submissions. The papers discuss all aspects of biometrics including iris, fingerprint, face, palm print, gait, gesture, speaker, and signature; theoretical and algorithmic issues are dealt with as well as systems issues. The industrial side of biometrics is evident from presentations on smart cards, wireless devices, and architectural and implementation aspects.
While this book is intended for healthcare executives and policy experts, anyone who is interested in health care can learn something from its exploration of the major issues that are stirring health care today. In the end, the momentous changes going on in health care will affect us all.
The authors begin by describing what patterns are and how they can help you design object-oriented software. They then go on to systematically name, explain, evaluate, and catalog recurring designs in object-oriented systems. With Design Patterns as your guide, you will learn how these important patterns fit into the software development process, and how you can leverage them to solve your own design problems most efficiently.
Each pattern describes the circumstances in which it is applicable, when it can be applied in view of other design constraints, and the consequences and trade-offs of using the pattern within a larger design. All patterns are compiled from real systems and are based on real-world examples. Each pattern also includes code that demonstrates how it may be implemented in object-oriented programming languages like C++ or Smalltalk.
Levy profiles the imaginative brainiacs who found clever and unorthodox solutions to computer engineering problems. They had a shared sense of values, known as "the hacker ethic," that still thrives today. Hackers captures a seminal period in recent history when underground activities blazed a trail for today's digital world, from MIT students finagling access to clunky computer-card machines to the DIY culture that spawned the Altair and the Apple II.
—Tom Vanderbilt, New York Times bestselling author of Traffic
In Tubes, Andrew Blum, a correspondent at Wired magazine, takes us on an engaging, utterly fascinating tour behind the scenes of our everyday lives and reveals the dark beating heart of the Internet itself. A remarkable journey through the brave new technological world we live in, Tubes is to the early twenty-first century what Soul of a New Machine—Tracy Kidder’s classic story of the creation of a new computer—was to the late twentieth.
We are living in the computer age, in a world increasingly designed and engineered by computer programmers and software designers, by people who call themselves hackers. Who are these people, what motivates them, and why should you care?
Consider these facts: Everything around us is turning into computers. Your typewriter is gone, replaced by a computer. Your phone has turned into a computer. So has your camera. Soon your TV will. Your car was not only designed on computers, but has more processing power in it than a room-sized mainframe did in 1970. Letters, encyclopedias, newspapers, and even your local store are being replaced by the Internet.
Hackers & Painters: Big Ideas from the Computer Age, by Paul Graham, explains this world and the motivations of the people who occupy it. In clear, thoughtful prose that draws on illuminating historical examples, Graham takes readers on an unflinching exploration into what he calls "an intellectual Wild West."
The ideas discussed in this book will have a powerful and lasting impact on how we think, how we work, how we develop technology, and how we live. Topics include the importance of beauty in software design, how to make wealth, heresy and free speech, the programming language renaissance, the open-source movement, digital design, internet startups, and more.
The answer is time management. And not just any time management theory--you want Time Management for System Administrators, to be exact. With keen insights into the challenges you face as a sys admin, bestselling author Thomas Limoncelli has put together a collection of tips and techniques that will help you cultivate the time management skills you need to flourish as a system administrator.
Time Management for System Administrators understands that an Sys Admin often has competing goals: the concurrent responsibilities of working on large projects and taking care of a user's needs. That's why it focuses on strategies that help you work through daily tasks, yet still allow you to handle critical situations that inevitably arise.
Among other skills, you'll learn how to:Manage interruptionsEliminate timewastersKeep an effective calendarDevelop routines for things that occur regularlyUse your brain only for what you're currently working onPrioritize based on customer expectationsDocument and automate processes for faster execution
What's more, the book doesn't confine itself to just the work environment, either. It also offers tips on how to apply these time management tools to your social life. It's the first step to a more productive, happier you.
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.
By using concrete examples, minimal theory, and two production-ready Python frameworks—scikit-learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started.Explore the machine learning landscape, particularly neural netsUse scikit-learn to track an example machine-learning project end-to-endExplore several training models, including support vector machines, decision trees, random forests, and ensemble methodsUse the TensorFlow library to build and train neural netsDive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learningLearn techniques for training and scaling deep neural netsApply practical code examples without acquiring excessive machine learning theory or algorithm details
A 3D printer transforms digital information into a physical object by carrying out instructions from an electronic design file, or 'blueprint.' Guided by a design file, a 3D printer lays down layer after layer of a raw material to 'print' out an object. That's not the whole story, however. The magic happens when you plug a 3D printer into today’s mind-boggling digital technologies. Add to that the Internet, tiny, low cost electronic circuitry, radical advances in materials science and biotech and voila! The result is an explosion of technological and social innovation.
Fabricated takes the reader onto a rich and fulfilling journey that explores how 3D printing is poised to impact nearly every part of our lives.
Aimed at people who enjoy books on business strategy, popular science and novel technology, Fabricated will provide readers with practical and imaginative insights to the question 'how will this technology change my life?' Based on hundreds of hours of research and dozens of interviews with experts from a broad range of industries, Fabricated offers readers an informative, engaging and fast-paced introduction to 3D printing now and in the future.
Microservice technologies are moving quickly. Author Sam Newman provides you with a firm grounding in the concepts while diving into current solutions for modeling, integrating, testing, deploying, and monitoring your own autonomous services. You’ll follow a fictional company throughout the book to learn how building a microservice architecture affects a single domain.Discover how microservices allow you to align your system design with your organization’s goalsLearn options for integrating a service with the rest of your systemTake an incremental approach when splitting monolithic codebasesDeploy individual microservices through continuous integrationExamine the complexities of testing and monitoring distributed servicesManage security with user-to-service and service-to-service modelsUnderstand the challenges of scaling microservice architectures
This book is dedicated to all the machine learning and deep learning enthusiasts, data scientists, researchers, and even students who want to perform more accurate, fast machine learning operations with TensorFlow. Those with basic knowledge of programming (Python and C/C++) and math concepts who want to be introduced to the topics of machine learning will find this book useful.What You Will LearnInstall and adopt TensorFlow in your Python environment to solve mathematical problemsGet to know the basic machine and deep learning conceptsTrain and test neural networks to fit your data modelMake predictions using regression algorithmsAnalyze your data with a clustering procedureDevelop algorithms for clustering and data classificationUse GPU computing to analyze big dataIn Detail
Google's TensorFlow engine, after much fanfare, has evolved in to a robust, user-friendly, and customizable, application-grade software library of machine learning (ML) code for numerical computation and neural networks.
This book takes you through the practical software implementation of various machine learning techniques with TensorFlow. In the first few chapters, you'll gain familiarity with the framework and perform the mathematical operations required for data analysis. As you progress further, you'll learn to implement various machine learning techniques such as classification, clustering, neural networks, and deep learning through practical examples.
By the end of this book, you'll have gained hands-on experience of using TensorFlow and building classification, image recognition systems, language processing, and information retrieving systems for your application.Style and approach
Get quickly up and running with TensorFlow using this fast-paced guide. You will get to know everything that can be done with TensorFlow and we'll show you how to implement it in your environment. The examples in the book are from the core of the computation industry—something you can connect to and will find familiar.
Conversion Optimization offers practical advice on how to persuade visitors to make a buying decision -- without driving them away through data overload or tedious navigation. You'll learn how to use marketing principles, design, usability, and analytics on your site to increase your buyer-to-visitor ratio, whether you're involved with marketing or designing a large ecommerce site, or managing a modest online operation.
Based on the authors' broad experience in helping businesses attract online customers, this book addresses every aspect of the process, from landing visitors to finalizing the sale. You'll learn several techniques for blending successful sales approaches with the particular needs of the people you want to attract. Are you ready to do what it takes to get a double-digit conversion rate?Explore case studies involving significant conversion rate improvementsWalk through different stages of a sale and understand the value of eachUnderstand your website visitors through persona creationConnect with potential customers and guide them toward a conversionLearn how to deal with FUDs -- customer fears, uncertainties, and doubtsExamine the path that visitors take from landing page to checkoutTest any change you make against your original design
"The Web is unique in its ability to deliver this almost improbable win-win: You can increase revenue AND make your customers happy. Yet most websites stink. Worry not, Khalid and Ayat to the rescue! Buy this book to follow their practical advice on how to create high converting websites that your visitors love."--Avinash Kaushik, author of Web Analytics 2.0 and Web Analytics: An Hour A Day (both Sybex)
Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the free open source OpenCV library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "see" and make decisions based on that data.
Computer vision is everywhere-in security systems, manufacturing inspection systems, medical image analysis, Unmanned Aerial Vehicles, and more. It stitches Google maps and Google Earth together, checks the pixels on LCD screens, and makes sure the stitches in your shirt are sewn properly. OpenCV provides an easy-to-use computer vision framework and a comprehensive library with more than 500 functions that can run vision code in real time.
Learning OpenCV will teach any developer or hobbyist to use the framework quickly with the help of hands-on exercises in each chapter. This book includes:A thorough introduction to OpenCVGetting input from camerasTransforming imagesSegmenting images and shape matchingPattern recognition, including face detectionTracking and motion in 2 and 3 dimensions3D reconstruction from stereo visionMachine learning algorithms
Getting machines to see is a challenging but entertaining goal. Whether you want to build simple or sophisticated vision applications, Learning OpenCV is the book you need to get started.
Part history, part guidebook, part prediction for the future, Targeted tells the story of the companies, individuals, and innovations driving this revolution. It takes readers behind the scenes—examining the growth of digital advertising, its enormous potential, and the technologies that are changing the game forever. Leading the way is real-time bidding, which offers advertisers unprecedented precision in targeting ads and measuring their effectiveness.
From keyword micro-markets and ad serving systems to aggregated virtual audiences and new business models, Targeted is sweeping in scope and stripped of technical complexity. It is an essential resource for anyone interested in finding and connecting with customers in the vast and shifting Internet universe.
With over 500 functions that span many areas in vision, OpenCV is used for commercial applications such as security, medical imaging, pattern and face recognition, robotics, and factory product inspection. This book gives you a firm grounding in computer vision and OpenCV for building simple or sophisticated vision applications. Hands-on exercises in each chapter help you apply what you’ve learned.
This volume covers the entire library, in its modern C++ implementation, including machine learning tools for computer vision.Learn OpenCV data types, array types, and array operationsCapture and store still and video images with HighGUITransform images to stretch, shrink, warp, remap, and repairExplore pattern recognition, including face detectionTrack objects and motion through the visual fieldReconstruct 3D images from stereo visionDiscover basic and advanced machine learning techniques in OpenCV
Based on his nine years of experience as a program manager for Internet Explorer, and lead program manager for Windows and MSN, Berkun explains to technical and non-technical readers alike what it takes to get through a large software or web development project. Making Things Happen doesn't cite specific methods, but focuses on philosophy and strategy. Unlike other project management books, Berkun offers personal essays in a comfortable style and easy tone that emulate the relationship of a wise project manager who gives good, entertaining and passionate advice to those who ask.
Topics in this new edition include:How to make things happenMaking good decisionsSpecifications and requirementsIdeas and what to do with themHow not to annoy peopleLeadership and trustThe truth about making datesWhat to do when things go wrongComplete with a new forward from the author and a discussion guide for forming reading groups/teams, Making Things Happen offers in-depth exercises to help you apply lessons from the book to your job. It is inspiring, funny, honest, and compelling, and definitely the one book that you and your team need to have within arm's reach throughout the life of your project.
Coming from the rare perspective of someone who fought difficult battles on Microsoft's biggest projects and taught project design and management for MSTE, Microsoft's internal best practices group, this is valuable advice indeed. It will serve you well with your current work, and on future projects to come.
The example code for this unique data science book is maintained in a public GitHub repository. It’s designed to be easily accessible through a turnkey virtual machine that facilitates interactive learning with an easy-to-use collection of IPython Notebooks.
The second edition focuses on Drupal 7, the latest version of this open source system. Each project spans an entire chapter, with step-by-step "recipes" to help you build out the precise functionality the site requires. With this book, developers new to Drupal will gain experience through a hands-on introduction, and experienced Drupal developers will learn real-world best practices.Learn Drupal’s concepts and building blocks, and how everything works togetherHit the ground running—build your first Drupal site hands-onExplore solutions that meet each project’s requirements, and discover why specific modules were selectedUnderstand the projects through case studies, including the client’s needs and desiresLearn how to configure modules with a bird’s-eye view of how they workDiscover new modules, including Drupal Commerce, Media, and Workbench
Programming Computer Vision with Python explains computer vision in broad terms that won’t bog you down in theory. You get complete code samples with explanations on how to reproduce and build upon each example, along with exercises to help you apply what you’ve learned. This book is ideal for students, researchers, and enthusiasts with basic programming and standard mathematical skills.Learn techniques used in robot navigation, medical image analysis, and other computer vision applicationsWork with image mappings and transforms, such as texture warping and panorama creationCompute 3D reconstructions from several images of the same sceneOrganize images based on similarity or content, using clustering methodsBuild efficient image retrieval techniques to search for images based on visual contentUse algorithms to classify image content and recognize objectsAccess the popular OpenCV library through a Python interface
The network has become the core organizational structure for postmodern politics, culture, and life, replacing the modern era’s hierarchical systems. From peer-to-peer file sharing and massive multiplayer online games to contagion vectors of digital or biological viruses and global affiliations of terrorist organizations, the network form has become so invasive that nearly every aspect of contemporary society can be located within it.
Borrowing their title from the hacker term for a program that takes advantage of a flaw in a network system, Alexander R. Galloway and Eugene Thacker challenge the widespread assumption that networks are inherently egalitarian. Instead, they contend that there exist new modes of control entirely native to networks, modes that are at once highly centralized and dispersed, corporate and subversive.
In this provocative book-length essay, Galloway and Thacker argue that a whole new topology must be invented to resist and reshape the network form, one that is as asymmetrical in relationship to networks as the network is in relation to hierarchy.
Alexander R. Galloway is associate professor of culture and communications at New York University and the author of Gaming: Essays on Algorithmic Culture (Minnesota, 2006) and Protocol: How Control Exists after Decentralization.
Eugene Thacker is associate professor of new media at the Georgia Institute of Technology and the author of Biomedia (Minnesota, 2004) and The Global Genome: Biotechnology, Politics, and Culture.
It includes Matlab code of the most common methods and algorithms in the book, together with a descriptive summary and solved examples, and including real-life data sets in imaging and audio recognition.
This text is designed for electronic engineering, computer science, computer engineering, biomedical engineering and applied mathematics students taking graduate courses on pattern recognition and machine learning as well as R&D engineers and university researchers in image and signal processing/analyisis, and computer vision.Matlab code and descriptive summary of the most common methods and algorithms in Theodoridis/Koutroumbas, Pattern Recognition, Fourth EditionSolved examples in Matlab, including real-life data sets in imaging and audio recognitionAvailable separately or at a special package price with the main text (ISBN for package: 978-0-12-374491-3)
This book is a compilation of three short guides—Planning Drupal Projects, Design and Prototyping for Drupal, and Drupal Development Tricks for Designers—plus exclusive "director’s material." If you’re familiar with HTML and CSS, but struggling with Drupal’s learning curve, this is the book you’ve been looking for.Get extra material, including an expanded Grids chapter, more recommended modules, and a Short Form Project planLearn how to work user-centered design practices into Drupal projectsChoose the right modules for your project, and discover several go-to modulesUse strategies for sketching, wireframing, and designing effective layoutsManage Drupal’s markup, including code generated by the powerful Views moduleLearn how to work with Drupal on the command lineSet up your development environment and collaborate with other designers and developersLearn the basics of Git, the free open source version control system
Compare distributed apps (dapps) to web apps
Write Ethereum smart contracts in Solidity
Deploy your own dapp, coin, and blockchain
Work with basic and intermediate smart contracts
Who This Book Is For
Experts will find the advanced sample projects in this book rewarding because of the power of Solidity
The Internet has been hailed as an unprecedented democratizing force, a place where everyone can be heard and all can participate equally. But how true is this claim? In a seminal dismantling of techno-utopian visions, The People's Platform argues that for all that we "tweet" and "like" and "share," the Internet in fact reflects and amplifies real-world inequities at least as much as it ameliorates them. Online, just as off-line, attention and influence largely accrue to those who already have plenty of both.
What we have seen so far, Astra Taylor says, has been not a revolution but a rearrangement. Although Silicon Valley tycoons have eclipsed Hollywood moguls, a handful of giants like Amazon, Apple, Google, and Facebook remain the gatekeepers. And the worst habits of the old media model—the pressure to seek easy celebrity, to be quick and sensational above all—have proliferated on the web, where "aggregating" the work of others is the surest way to attract eyeballs and ad revenue. When culture is "free," creative work has diminishing value and advertising fuels the system. The new order looks suspiciously like the old one.
We can do better, Taylor insists. The online world does offer a unique opportunity, but a democratic culture that supports diverse voices and work of lasting value will not spring up from technology alone. If we want the Internet to truly be a people's platform, we will have to make it so.
A Salon Best Book of the Year
In 1997, the computer was still a relatively new tool---a sleek and unforgiving machine that was beyond the grasp of most users. With intimate and unflinching detail, software engineer Ellen Ullman examines the strange ecstasy of being at the forefront of the predominantly male technological revolution, and the difficulty of translating the inherent messiness of human life into artful and efficient code. Close to the Machine is an elegant and revelatory mediation on the dawn of the digital era.
This book introduces key game production concepts in an artist-friendly way, and rapidly teaches the basic scripting skills you'll need with Unity. It goes on to show how you, as an independent game artist, can create interactive games, ideal in scope for today's casual and mobile markets, while also giving you a firm foundation in game logic and design.
The first part of the book explains the logic involved in game interaction, and soon has you creating game assets through simple examples that you can build upon and gradually expand. In the second part, you'll build the foundations of a point-and-click style first-person adventure game—including reusable state management scripts, dialogue trees for character interaction, load/save functionality, a robust inventory system, and a bonus feature: a dynamically configured maze and mini-map. With the help of the provided 2D and 3D content, you'll learn to evaluate and deal with challenges in bite-sized pieces as the project progresses, gaining valuable problem-solving skills in interactive design. By the end of the book, you will be able to actively use the Unity 3D game engine, having learned the necessary workflows to utilize your own assets. You will also have an assortment of reusable scripts and art assets with which to build future games.
The company's new IT initiative, code named Phoenix Project, is critical to the future of Parts Unlimited, but the project is massively over budget and very late. The CEO wants Bill to report directly to him and fix the mess in ninety days or else Bill's entire department will be outsourced.
With the help of a prospective board member and his mysterious philosophy of The Three Ways, Bill starts to see that IT work has more in common with manufacturing plant work than he ever imagined. With the clock ticking, Bill must organize work flow, streamline interdepartmental communications, and effectively serve the other business functions at Parts Unlimited.
In a fast-paced and entertaining style, three luminaries of the DevOps movement deliver a story that anyone who works in IT will recognize. Readers will not only learn how to improve their own IT organizations, they'll never view IT the same way again.