Highly Regarded, Accessible Approach to Image Processing Using Open-Source and Commercial Software A Computational Introduction to Digital Image Processing, Second Edition explores the nature and use of digital images and shows how they can be obtained, stored, and displayed. Taking a strictly elementary perspective, the book only covers topics that involve simple mathematics yet offer a very broad and deep introduction to the discipline. New to the Second Edition This second edition provides users with three different computing options. Along with MATLAB (R), this edition now includes GNU Octave and Python. Users can choose the best software to fit their needs or migrate from one system to another. Programs are written as modular as possible, allowing for greater flexibility, code reuse, and conciseness. This edition also contains new images, redrawn diagrams, and new discussions of edge-preserving blurring filters, ISODATA thresholding, Radon transform, corner detection, retinex algorithm, LZW compression, and other topics. Principles, Practices, and Programming Based on the author's successful image processing courses, this bestseller is suitable for classroom use or self-study. In a straightforward way, the text illustrates how to implement imaging techniques in MATLAB, GNU Octave, and Python. It includes numerous examples and exercises to give students hands-on practice with the material.

This book describes the methods and algorithms for image pre-processing and recognition. These methods are based on a parallel shift technology of the imaging copy, as well as simple mathematical operations to allow the generation of a minimum set of features to describe and recognize the image. This book also describes the theoretical foundations of parallel shift technology and pattern recognition. Based on these methods and theories, this book is intended to help researchers with artificial intelligence systems design, robotics, and developing software and hardware applications.

One of the more revolutionary parts of the MPEG-4 International Standard is the Face and Body Animation, or FBA: the specification for efficient coding of shape and animation of human faces and bodies. This specification is a result of collaboration of experts with different backgrounds ranging from image coding and compression to video analysis, computer graphics, as well as speech analysis and synthesis, all sharing a common interest in computer simulation of humans. This book concentrates on the animation of faces.

Features include:

• Sets the MPEG-4 FA specification against the historical background of research on facial animation and model-based coding and provides a brief history of the development of the standard itself.

• Comprehensive overview of the FA specification with the goal of helping the reader understand how the standard works, what the thinking is behind it, and how it is intended be used.

• Covers the implementation of the standard on both the encoding and decoding side. Presents several face animation techniques for MPEG-4 FA decoders, as well as architectures for building applications based on the standard.

• Brings together a collection of applications using the MPEG-4 FA specification.

• Includes a standard benchmark method for assessing the quality of MPEG-4 FA decoders.

FLEXIBILITY AND WEIGHT From Richard Williams' The Animator's Survival Kit comes key chapters in mini form. The Animator's Survival Kit is the essential tool for animators. However, sometimes you don't want to carry the hefty expanded edition around with you to your college or studio if you're working on just one aspect of it that day. The Animation Minis take some of the most essential chapters and make them available in smaller, lightweight, hand-bag/backpack size versions. Easy to carry. Easy to study. This Mini focuses on Flexibility and Weight. How do we loosen things up and get snap and vitality into our performance at the same time as keeping the figure stable and solid? The answer: successive breaking of joints to give flexibility. In this mini, Williams stresses the importance of knowing where the weight is on every drawing. He demonstrates that the best way to show weight is to be aware of it, conscious of it, and think about it all the time - knowing where the weight is coming from, where it's traveling over and where it's transferring to.

Questioning essentialist forms of feminist discourse, this work develops an innovative approach to gender and feminist theory by drawing together the work of key feminist and gender theorists, such as Judith Butler and Donna Haraway, and the biopolitical philosophy of Giorgio Agamben and Gilles Deleuze. By analysing representations of the female cyborg figure, the gynoid, in science fiction literature, television, film and videogames, the work acknowledges its normative and subversive properties while also calling for a new feminist politics of selfhood and autonomy implied by the posthuman qualities of the female machine.

An Image Processing Tour of College Mathematics aims to provide meaningful context for reviewing key topics of the college mathematics curriculum, to help students gain confidence in using concepts and techniques of applied mathematics, to increase student awareness of recent developments in mathematical sciences, and to help students prepare for graduate studies. The topics covered include a library of elementary functions, basic concepts of descriptive statistics, probability distributions of functions of random variables, definitions and concepts behind first- and second-order derivatives, most concepts and techniques of traditional linear algebra courses, an introduction to Fourier analysis, and a variety of discrete wavelet transforms - all of that in the context of digital image processing. Features Pre-calculus material and basic concepts of descriptive statistics are reviewed in the context of image processing in the spatial domain. Key concepts of linear algebra are reviewed both in the context of fundamental operations with digital images and in the more advanced context of discrete wavelet transforms. Some of the key concepts of probability theory are reviewed in the context of image equalization and histogram matching. The convolution operation is introduced painlessly and naturally in the context of naive filtering for denoising and is subsequently used for edge detection and image restoration. An accessible elementary introduction to Fourier analysis is provided in the context of image restoration. Discrete wavelet transforms are introduced in the context of image compression, and the readers become more aware of some of the recent developments in applied mathematics. This text helps students of mathematics ease their way into mastering the basics of scientific computer programming.

The aim of this book is to outline the concept of entropy, various types of entropies and their implementation to evaluate a variety of biomedical signals/images. The book emphasizes various entropy-based image pre-processing methods which are essential for the development of suitable computerized examination systems. The recent research works on biomedical signal evaluation confirms that signal analysis provides vital information regarding the physiological condition of the patient, and the efficient evaluation of these signals can help to diagnose the nature and the severity of the disease. This book emphasizes various entropy-based image pre-processing methods which are essential for the development of suitable computerized examination systems for the analysis of biomedical images recorded with a variety of modalities. The work discusses the image pro-processing methods with the Entropies, such as Kapur, Tsallis, Shannon and Fuzzy on a class of RGB-scaled and gray-scaled medical pictures. The performance of the proposed technique is justified with the help of suitable case studies, which involves x-ray image analysis, MRI analysis and CT analysis. This book is intended for medical signal/image analysts, undergraduate and postgraduate students, researchers, and medical scientists interested in biomedical data evaluation.

In view of better results expected from examination of medical datasets (images) with hybrid (integration of thresholding and segmentation) image processing methods, this work focuses on implementation of possible hybrid image examination techniques for medical images. It describes various image thresholding and segmentation methods which are essential for the development of such a hybrid processing tool. Further, this book presents the essential details, such as test image preparation, implementation of a chosen thresholding operation, evaluation of threshold image, and implementation of segmentation procedure and its evaluation, supported by pertinent case studies. Aimed at researchers/graduate students in the medical image processing domain, image processing, and computer engineering, this book: Provides broad background on various image thresholding and segmentation techniques Discusses information on various assessment metrics and the confusion matrix Proposes integration of the thresholding technique with the bio-inspired algorithms Explores case studies including MRI, CT, dermoscopy, and ultrasound images Includes separate chapters on machine learning and deep learning for medical image processing

A New Way of Analyzing Object Data from a Nonparametric Viewpoint Nonparametric Statistics on Manifolds and Their Applications to Object Data Analysis provides one of the first thorough treatments of the theory and methodology for analyzing data on manifolds. It also presents in-depth applications to practical problems arising in a variety of fields, including statistics, medical imaging, computer vision, pattern recognition, and bioinformatics. The book begins with a survey of illustrative examples of object data before moving to a review of concepts from mathematical statistics, differential geometry, and topology. The authors next describe theory and methods for working on various manifolds, giving a historical perspective of concepts from mathematics and statistics. They then present problems from a wide variety of areas, including diffusion tensor imaging, similarity shape analysis, directional data analysis, and projective shape analysis for machine vision. The book concludes with a discussion of current related research and graduate-level teaching topics as well as considerations related to computational statistics. Researchers in diverse fields must combine statistical methodology with concepts from projective geometry, differential geometry, and topology to analyze data objects arising from non-Euclidean object spaces. An expert-driven guide to this approach, this book covers the general nonparametric theory for analyzing data on manifolds, methods for working with specific spaces, and extensive applications to practical research problems. These problems show how object data analysis opens a formidable door to the realm of big data analysis.

Description: This tutorial-based book allows readers to create a first-person game from start to finish using industry-standard (and free to student) tools of Maya, Substance Painter, and Unreal Engine. The first half of the book lays out the basics of using Maya and Substance Painter to create game-ready assets. This includes polygonal modeling, UV layout, and custom texture painting. Then, the book covers rigging and animation solutions to create assets to be placed in the game including animated first-person assets and motion-captured NPC animations. Finally, readers can put it all together and build interactivity that allows the player to create a finished game using the assets built and animated earlier in the book. * Written by industry professionals with real-world experience in building assets and games. * Build a complete game from start to finish. * Learn what the pros use: construct all assets using the tools used at industries across the world. * All software used are free to students. * When complete, students will have a playable version of an FPS game. Jing Tian Li is a graduate of China's Central Academy of Fine Arts and New York's School of Visual Arts, where he earned an MFA in Computer Art. He currently is an Assistant Professor of 3D Animation & Game Design at the University of the Incarnate Word in San Antonio, Texas. Kassandra Arevalo is an instructor of 3D Animation & Game Design at the University of the Incarnate Word in San Antonio, Texas. She previously worked as an animator at Immersed Games. Matt Tovar is an industry veteran animator. He has worked at Naughty Dog, Infinity Ward, and Sony Interactive on such games as The Last of Us, Call of Duty: Modern Warfare, and most recently Marvel's Avengers with Crystal Dynamics. He is an Assistant Professor of 3D Animation at the University of the Incarnate Word in San Antonio, Texas.

This tutorial-based book allows readers to create a first-person game from start to finish using industry-standard (and free to student) tools of Unity, Substance Painter, and Maya. The first half of the book lays out the basics of using Maya and Substance Painter to create game-ready assets. This includes polygonal modeling, UV layout, and custom texture painting. The book then covers rigging and animation solutions to create assets to be placed in the game, including animated first-person assets and motion-captured NPC animations. Finally, readers can put it all together and build interactivity that allows the player to create a finished game using the assets built and animated earlier in the book. * Written by industry professionals with real-world experience in building assets and games * Build a complete game from start to finish * Learn what the pros use: construct all assets using the tools used at game studios across the world * All software used are free to students * When complete, students will have a playable version of an FPS game Jingtian Li is a graduate of China's Central Academy of Fine Arts and New York's School of Visual Arts, where he earned an MFA in Computer Art. He currently is an Assistant Professor of 3D Animation & Game Design at the University of the Incarnate Word in San Antonio, Texas. Adam Watkins is a 20-year veteran of 3D education. He holds an MFA in 3D Animation and a BFA in Theatre Arts from Utah State University. He currently is the Coordinator and Professor of the 3D Animation & Game Department at the University of the Incarnate Word in San Antonio, Texas. Kassandra Arevalo is an instructor of 3D Animation & Game Design at the University of the Incarnate Word in San Antonio, Texas. She previously worked as an animator at Immersed Games. Matt Tovar is an industry veteran animator. He has worked at Naughty Dog, Infinity Ward, and Sony Interactive on such games as The Last of Us, Call of Duty: Modern Warfare, and most recently Marvel's Avengers with Crystal Dynamics. He is an Assistant Professor of 3D Animation at the University of the Incarnate Word in San Antonio, Texas.

Bring your artwork to life with the power of the FORCE! Watch, listen, and follow along as Mike Mattesi demonstrates the fundamental FORCE line and explains dynamic figure drawing techniques through 30 videos that are launched through the book's companion App. Packed with superb, powerfully drawn examples, the updated third edition of FORCE features an all-new section on the "FORCE blob," and dozens of fresh illustrations. Mike Mattesi's 10th anniversary edition of FORCE will teach readers how to put thought and imagination to paper. Whether you are an illustrator, animator, comic book artist, or student, you'll learn to use rhythm, shape, and line to bring out the life in any subject. The 10th Anniversary Edition contains numerous improvements. Around 30 videos are embedded within the book and accessible through the FORCE Drawing App. In the App, click on the image of the camera, point your mobile device's camera at the page with the symbol, and then finally tap the video card image floating above the drawing to launch the video. Then sit back and watch the video that shows me creating that drawing and discussing my process. Many new drawings can be found within this edition and the addition of color now further clarifies the theory of FORCE. Key Features The unique, dynamic learning system that has helped thousands of artists enhance their figure drawing abilities Dozens of updated illustrations and all-new content, exclusive to the 3rd edition Select pages can be scanned by your smartphone or other device to pull up bonus video content, enhancing the learning process Companion App: Nearly 50 videos are available on the free FORCE Drawing companion app that can be downloaded through Google Play or the Apple App Store

This book teaches beginners and aspiring game developers how to develop 2D games with Unity. Thousands of commercial games have been built with Unity. The reader will learn the complete process of 2D game development, step by step. The theory behind each step is fully explained. This book contains numerous color illustrations and access to all source code and companion videos. Key Features: Fully detailed game projects from scratch. Beginners can do the steps and create games right away. No coding experience is necessary. Numerous examples take a raw beginner toward professional coding proficiency in C# and Unity. Includes a thorough introduction to Unity 2020, including 2D game development, prefabs, cameras, animation, character controllers, lighting, and sound. Includes a step-by-step introduction to Unity 2019.3. Extensive coverage of GIMP, Audacity, and MuseScore for the creation of 2D graphics, sound effects, and music. All required software is free to use for any purpose including commercial applications and games. Franz Lanzinger is the owner and chief game developer of Lanzinger Studio, an independent game development and music studio in Sunnyvale, California. He started his career in game programming in 1982 at Atari Games, Inc., where he designed and programmed the classic arcade game Crystal Castles. In 1989, he joined Tengen, where he was a programmer and designer for Ms. Pac-Man and Toobin' on the NES. He co-founded Bitmasters, where he designed and coded games including Rampart and Championship Pool for the NES and SNES, and NCAA Final Four Basketball for the SNES and Sega Genesis. In 1996, he founded Actual Entertainment, publisher and developer of the Gubble video game series. He has a B.Sc. in mathematics from the University of Notre Dame and attended graduate school in mathematics at the University of California at Berkeley. He is a former world record holder on Centipede and Burgertime. He is a professional author, game developer, accompanist, and piano teacher. He is currently working on remaking the original Gubble game in Unity and Blender.

This student-friendly book provides an accessible overview of the primary debates about the effects of video games. It expands on the original The Video Game Debate to address the new technologies that have emerged within the field of game studies over the last few years. Debates about the negative effects of video game play have been evident since their introduction in the 1970s, but the advent of online and mobile gaming has revived these concerns, reinvigorating old debates and generating brand new ones. The Video Game Debate 2 draws from the latest research findings from the top scholars of digital games research to address these concerns. The book explores key developments such as virtual and augmented reality, the use of micro-transactions, the integration of loot boxes, and the growth of mobile gaming and games for change (serious games). Furthermore, several new chapters explore contemporary debates around e-sports, gamification, sex and gender discrimination in games, and the use of games in therapy. This book offers students and scholars of games studies and digital media, as well as policymakers, the essential information they need to participate in the debate.

Digital art practitioners work under the constant threat of a medium - the digital - that objectifies the self and depersonalises artistic identities. If digital technology is a pharmakon in that it can be either cure or poison, with regard to digital art practices the digital may have in fact worked as a placebo that has allowed us to push back the date in which the crisis between digital and art will be given serious thought. This book is hence concerned with an analysis of such a relationship and proposes their rethinking in terms of an ethico-phenomenological practice informed by an in-depth understanding of the digital medium. Giuseppe Torre engages with underground cultures such as Free and Libre Open Source Software (FLOSS) and its ties with art discourse. The discussion is informed by various philosophical discourses and media theories, with a focus on how such ideas connect back to the existing literature in performance studies. Replete with examples of artwork and practices, this book will be of great interest to students and scholars of theatre and performance studies, art and technology.

This book examines the brief yet accelerated evolution of newsgames, a genre that has emerged from puzzles, quizzes, and interactives augmenting digital journalism into full-fledged immersive video games from open-world designs to virtual reality experiences. Critics have raised questions about the credibility and ethics of transforming serious news stories of political consequence into entertainment media, and the risks of trivializing grave and catastrophic events into mere games. Dowling explores both the negatives of newsgames, and how the use of entertainment media forms and their narrative methods mainly associated with fiction can add new and potentially more powerful meaning to news than traditional formats allow. The book also explores how industrial and cultural shifts in the digital publishing industry have enabled newsgames to evolve in a manner that strengthens certain core principles of journalism, particularly advocacy on behalf of marginalized and oppressed groups. Cutting-edge and thoughtful, The Gamification of Digital Journalism is a must-read for scholars, researchers, and practitioners interested in multimedia journalism and immersive storytelling.

Content-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques is a comprehensive guide to research with invaluable image data. Social Science Research Network has revealed that 65% of people are visual learners. Research data provided by Hyerle (2000) has clearly shown 90% of information in the human brain is visual. Thus, it is no wonder that visual information processing in the brain is 60,000 times faster than text-based information (3M Corporation, 2001). Recently, we have witnessed a significant surge in conversing with images due to the popularity of social networking platforms. The other reason for embracing usage of image data is the mass availability of high-resolution cellphone cameras. Wide usage of image data in diversified application areas including medical science, media, sports, remote sensing, and so on, has spurred the need for further research in optimizing archival, maintenance, and retrieval of appropriate image content to leverage data-driven decision-making. This book demonstrates several techniques of image processing to represent image data in a desired format for information identification. It discusses the application of machine learning and deep learning for identifying and categorizing appropriate image data helpful in designing automated decision support systems. The book offers comprehensive coverage of the most essential topics, including: Image feature extraction with novel handcrafted techniques (traditional feature extraction) Image feature extraction with automated techniques (representation learning with CNNs) Significance of fusion-based approaches in enhancing classification accuracy MATLAB (R) codes for implementing the techniques Use of the Open Access data mining tool WEKA for multiple tasks The book is intended for budding researchers, technocrats, engineering students, and machine learning/deep learning enthusiasts who are willing to start their computer vision journey with content-based image recognition. The readers will get a clear picture of the essentials for transforming the image data into valuable means for insight generation. Readers will learn coding techniques necessary to propose novel mechanisms and disruptive approaches. The WEKA guide provided is beneficial for those uncomfortable coding for machine learning algorithms. The WEKA tool assists the learner in implementing machine learning algorithms with the click of a button. Thus, this book will be a stepping-stone for your machine learning journey. Please visit the author's website for any further guidance at https://www.rikdas.com/

In today's security-conscious society, real-world applications for authentication or identification require a highly accurate system for recognizing individual humans. The required level of performance cannot be achieved through the use of a single biometric such as face, fingerprint, ear, iris, palm, gait or speech. Fusing multiple biometrics enables the indexing of large databases, more robust performance and enhanced coverage of populations. Multiple biometrics are also naturally more robust against attacks than single biometrics. This book addresses a broad spectrum of research issues on multibiometrics for human identification, ranging from sensing modes and modalities to fusion of biometric samples and combination of algorithms. It covers publicly available multibiometrics databases, theoretical and empirical studies on sensor fusion techniques in the context of biometrics authentication, identification and performance evaluation and prediction.

This book covers the technology of digital image processing in various fields with big data and their applications. Readers will understand various technologies and strategies used in digital image processing as well as handling big data, using machine-learning techniques. This book will help to improve the skills of students and researchers in such fields as engineering, agriculture, and medical imaging. There is a need to be able to understand and analyse the latest developments of digital image technology. As such, this book will cover: * Applications such as biomedical science and biometric image processing, content-based image retrieval, remote sensing, pattern recognition, shape and texture analysis * New concepts in color interpolation to produce the full color from the sub-pattern bare pattern color prevalent in today's digital cameras and other imaging devices * Image compression standards that are needed to serve diverse applications * Applications of remote sensing, medical science, traffic management, education, innovation, and analysis in agricultural design and image processing * Both soft and hard computing approaches at great length in relation to major image processing tasks * The direction and development of current and future research in many areas of image processing * A comprehensive bibliography for additional research (integrated within the framework of the book) This book focuses not only on theoretical and practical knowledge in the field but also on the traditional and latest tools and techniques adopted in image processing and data science. It also provides an indispensable guide to a wide range of basic and advanced techniques in the fields of image processing and data science.

This book examines third-party review sites (TPRS) and the intersection of the review economy and neoliberal public relations, in order to understand how users and organizations engage the 21st century global review economy. The author applies communication and digital media theories to evaluate contemporary case studies that challenge TPRS and control over digital reputation. Chapters analyze famous cases such as the Texas photographer who sued her clients for negative reviews and activists using Yelp to protest the hunt of "Cecil the Lion," to illustrate the complicated yet important role of TPRS in the review economy. Theories such as neoliberal public relations, digital dialogic communication and cultural intermediaries help explain the impact of reviews and how to apply lessons learned from infamous cases. This nuanced and up to date exploration of the contemporary review economy will offer insights and best practice for academic researchers and upper-level undergraduate students in public relations, digital media, or strategic communication programs.

Biological systems are a source of inspiration in the development of small autonomous sensor nodes. The two major types of optical vision systems found in nature are the single aperture human eye and the compound eye of insects. The latter are among the most compact and smallest vision sensors. The eye is a compound of individual lenses with their own photoreceptor arrays. The visual system of insects allows them to fly with a limited intelligence and brain processing power. A CMOS image sensor replicating the perception of vision in insects is discussed and designed in this book for industrial (machine vision) and medical applications.

The CMOS metal layer is used to create an embedded micro-polarizer able to sense polarization information. This polarization information is shown to be useful in applications like real time material classification and autonomous agent navigation. Further the sensor is equipped with in pixel analog and digital memories which allow variation of the dynamic range and in-pixel binarization in real time. The binary output of the pixel tries to replicate the flickering effect of the insect s eye to detect smallest possible motion based on the change in state. An inbuilt counter counts the changes in states for each row to estimate the direction of the motion. The chip consists of an array of 128x128 pixels, it occupies an area of 5 x 4 mm2 and it has been designed and fabricated in an 180nm CMOS CIS process from UMC.

A Beginner's Guide to Image Multi-Level Thresholding emphasizes various image thresholding methods that are necessary for image pre-processing and initial level enhancement. Explains basic concepts and the implementation of Image Multi-Level Thresholding (grayscale and RGB images) Presents a detailed evaluation in real-time application, including the need for heuristic algorithm, the choice of objective and threshold function, and the evaluation of the outcome Describes how the image thresholding acts as a pre-processing technique and how the region of interest in a medical image is enhanced with thresholding Illustrates integration of the thresholding technique with bio-inspired algorithms Includes current findings and future directions of image multi-level thresholding and its practical implementation Emphasizes the need for multi-level thresholding with suitable examples The book is aimed at graduate students and researchers in image processing, electronics engineering, computer sciences and engineering.

Description: A Moving Subject offers a collection of essays from around the world. From Italy to the Middle East, from an analysis of A Night on Bald Mountain to African cinema animation, these essays help to paint the world of animation in a comprehensive and international manner. Handpicked by renowned animation historian and researcher Giannalberto Bendazzi, this book offers a look at the global foundations of animation from disparate regions, peoples and methods, and helps to demonstrate animation as a unifying factor of the human race. Key Features: A fresh perspective on animation from a global lens A new look into traditional animation produced from around the world Essays that reflect on the nature of colour, animation and light Author: A former professor at the Nanyang Technological University of Singapore and the Universita degli Studi of Milan, Italian-born Giannalberto Bendazzi has thoroughly investigated the history of animation for more than forty years. A founding member of the Society for Animation Studies, he has authored or edited various classics in various languages and has lectured extensively on every continent. He received an honorary doctorate from Lisbon University in 2019.

Description: A Moving Subject offers a collection of essays from around the world. From Italy to the Middle East, from an analysis of A Night on Bald Mountain to African cinema animation, these essays help to paint the world of animation in a comprehensive and international manner. Handpicked by renowned animation historian and researcher Giannalberto Bendazzi, this book offers a look at the global foundations of animation from disparate regions, peoples and methods, and helps to demonstrate animation as a unifying factor of the human race. Key Features: A fresh perspective on animation from a global lens A new look into traditional animation produced from around the world Essays that reflect on the nature of colour, animation and light Author: A former professor at the Nanyang Technological University of Singapore and the Universita degli Studi of Milan, Italian-born Giannalberto Bendazzi has thoroughly investigated the history of animation for more than forty years. A founding member of the Society for Animation Studies, he has authored or edited various classics in various languages and has lectured extensively on every continent. He received an honorary doctorate from Lisbon University in 2019.

"This book guides you in the journey of 3D modeling from the theory with elegant mathematics to applications with beautiful 3D model pictures. Written in a simple, straightforward, and concise manner, readers will learn the state of the art of 3D reconstruction and modeling." -Professor Takeo Kanade, Carnegie Mellon University The computer vision and graphics communities use different terminologies for the same ideas. This book provides a translation, enabling graphics researchers to apply vision concepts, and vice-versa, independence of chapters allows readers to directly jump into a specific chapter of interest, compared to other texts, gives more succinct treatment overall, and focuses primarily on vision geometry. Image-Based Modeling is for graduate students, researchers, and engineers working in the areas of computer vision, computer graphics, image processing, robotics, virtual reality, and photogrammetry.