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This pioneering text/reference presents a detailed focus on the use of machine vision techniques in industrial inspection applications. An internationally renowned selection of experts provide insights on a range of inspection tasks, drawn from their cutting-edge work in academia and industry, covering practical issues of vision system integration for real-world applications. Topics and features: presents a comprehensive review of state-of-the-art hardware and software tools for machine vision, and the evolution of algorithms for industrial inspection; includes in-depth descriptions of advanced inspection methodologies and machine vision technologies for specific needs; discusses the latest developments and future trends in imaging and vision techniques for industrial inspection tasks; provides a focus on imaging and vision system integration, implementation, and optimization; describes the pitfalls and barriers to developing successful inspection systems for smooth and efficient manufacturing process.
Displaying and sharing personal photos is an exciting experience, and this guide allows users of Photoshop Elements 5 to perfectly edit their digital images. Focusing on techniques that render photographs in their greatest clarity, "Photoshop Elements 5 in Easy Steps" showcases the many stunning features of the Elements 5 program. Starting from the capturing of the images to the editing, displaying, emailing, and printing of them, the information is appropriate for all skill levels and will help all budding photographers to produce professional-quality mementos.
All professional animators know a handful of secrets that give them an edge in a production environment. "How to Cheat in Maya" puts these secrets in your hands! Learn time and energy-saving techniques tested in real Hollywood productions in this book, jam-packed with screenshots and scene files designed to get you up to speed quickly. From menus to modeling, lipsync to lighting, How to Cheat in Maya 2014 covers all of the methods available in the latest version of Maya. Get up to speed quickly and produce stellar results with these insider workflows. With new, updated cheats for the latest version of Maya, How to Cheat in Maya 2014 is an essential guide for amateur and professional 3D animators alike. Fully updated with gold-mine coverage including: expanded sections on production workflow, all new chapters covering rigging cheats and Maya's referencing tools, and brand new project files demonstrating production-proven techniques. The companion website includes complete scene files for exercises and techniques, extra rigs, Quicktime movies of full projects, and video tutorials.
The three-volume set LNCS 8149, 8150, and 8151 constitutes the refereed proceedings of the 16th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013, held in Nagoya, Japan, in September 2013. Based on rigorous peer reviews, the program committee carefully selected 262 revised papers from 789 submissions for presentation in three volumes. The 81 papers included in the third volume have been organized in the following topical sections: image reconstruction and motion modeling; machine learning in medical image computing; imaging, reconstruction, and enhancement; segmentation; physiological modeling, simulation, and planning; intraoperative guidance and robotics; microscope, optical imaging, and histology; diffusion MRI; brain segmentation and atlases; and functional MRI and neuroscience applications.
This book constitutes the proceedings of the 14th International Workshop on Computer Algebra in Scientific Computing, CASC 2013, held in Berlin, Germany, in September 2013. The 33 full papers presented were carefully reviewed and selected for inclusion in this book.
The papers address issues such as polynomial algebra; the solution of tropical linear systems and tropical polynomial systems; the theory of matrices; the use of computer algebra for the investigation of various mathematical and applied topics related to ordinary differential equations (ODEs); applications of symbolic computations for solving partial differential equations (PDEs) in mathematical physics; problems arising at the application of computer algebra methods for finding infinitesimal symmetries; applications of symbolic and symbolic-numeric algorithms in mechanics and physics; automatic differentiation; the application of the CAS Mathematica for the simulation of quantum error correction in quantum computing; the application of the CAS GAP for the enumeration of Schur rings over the group A5; constructive computation of zero separation bounds for arithmetic expressions; the parallel implementation of fast Fourier transforms with the aid of the Spiral library generation system; the use of object-oriented languages such as Java or Scala for implementation of categories as type classes; a survey of industrial applications of approximate computer algebra.
Abstraction is a fundamental mechanism underlying both human and artificial perception, representation of knowledge, reasoning and learning. This mechanism plays a crucial role in many disciplines, notably Computer Programming, Natural and Artificial Vision, Complex Systems, Artificial Intelligence and Machine Learning, Art, and Cognitive Sciences. This book first provides the reader with an overview of the notions of abstraction proposed in various disciplines by comparing both commonalities and differences. After discussing the characterizing properties of abstraction, a formal model, the KRA model, is presented to capture them. This model makes the notion of abstraction easily applicable by means of the introduction of a set of abstraction operators and abstraction patterns, reusable across different domains and applications. It is the impact of abstraction in Artificial Intelligence, Complex Systems and Machine Learning which creates the core of the book. A general framework, based on the KRA model, is presented, and its pragmatic power is illustrated with three case studies: Model-based diagnosis, Cartographic Generalization, and learning Hierarchical Hidden Markov Models.
Remote Sensing Digital Image Analysis provides the
non-specialist with an introduction to quantitative evaluation of
satellite and aircraft derived remotely retrieved data. Since the
first edition of the book there have been significant developments
in the algorithms used for the processing and analysis of remote
sensing imagery; nevertheless many of the fundamentals have
substantially remained the same. This new edition presents material
that has retained value since those early days, along with new
techniques that can be incorporated into an operational framework
for the analysis of remote sensing data.
Each chapter covers the pros and cons of digital remotely sensed data, without detailed mathematical treatment of computer based algorithms, but in a manner conductive to an understanding of their capabilities and limitations. Problems conclude each chapter."
* Packed with expert advice, timesaving tips, and more than 150
step-by-step tutorials, this book is a must for anyone who wants to
master this complex, expensive software package
Prostatic adenocarcinoma (CAP) is the second most common malignancy with an estimated 190,000 new cases in the USA in 2010 (Source: American Cancer Society), and is the most frequently diagnosed cancer among men. If CAP is caught early, men have a high, five-year survival rate. Unfortunately there is no standardized ima- based screening protocol for early detection of CAP (unlike for breast cancers). In the USA high levels of prostate-specific antigen (PSA) warrant a trans-rectal ultrasound (TRUS) biopsy to enable histologic confirmation of presence or absence of CAP. With recent rapid developments in multi-parametric radiological imaging te- niques (spectroscopy, dynamic contrast enhanced MR imaging, PET, RF ultrasound), some of these functional and metabolic imaging modalities are allowing for definition of high resolution, multi-modal signatures for prostate cancer in vivo. Distinct com- tational and technological challenges for multi-modal data registration and classifi- tion still remain in leveraging this multi-parametric data for directing therapy and optimizing biopsy. Additionally, with the recent advent of whole slide digital sc- ners, digitized histopathology has become amenable to computerized image analysis. While it is known that outcome of prostate cancer (prognosis) is highly correlated with Gleason grade, pathologists often have difficulty in distinguishing between interme- ate Gleason grades from histopathology. Development of computerized image analysis methods for automated Gleason grading and predicting outcome on histopathology have to confront the significant computational challenges associated with working these very large digitized images.
This indispensable text introduces the foundations of three-dimensional computer vision and describes recent contributions to the field. Fully revised and updated, this much-anticipated new edition reviews a range of triangulation-based methods, including linear and bundle adjustment based approaches to scene reconstruction and camera calibration, stereo vision, point cloud segmentation, and pose estimation of rigid, articulated, and flexible objects. Also covered are intensity-based techniques that evaluate the pixel grey values in the image to infer three-dimensional scene structure, and point spread function based approaches that exploit the effect of the optical system. The text shows how methods which integrate these concepts are able to increase reconstruction accuracy and robustness, describing applications in industrial quality inspection and metrology, human-robot interaction, and remote sensing.
Gain concepts central to digital video using the affordable Corel Video Studio Ultimate X9 software package as well as open source digital video editing package EditShare Lightworks 12. This compact visual guide builds on the essential concepts of digital imaging, audio, illustration, and painting, and gets more advanced as chapters progress, covering what digital video new media formats are best for use with Android Studio, Java and JavaFX, iOS, and HTML5. Furthermore, Digital Video Editing Fundamentals covers the key factors of the data footprint optimization work process, streaming versus captive assets, and why these are important. What You'll Learn Create a digital video editing and effects pipeline Gain knowledge of the concepts behind digital video editing Work with resolution, aspect ratio, bit rate, and color depth Use pixel editing, color correction, layers, and compression Optimize data footprints Who This Book Is For Website developers, musicians, digital signage, e-learning content creators, Android developers, and iOS developers.
Master invaluable workflow tips that will allow you to tap into the full power of Final Cut Pro X and achieve results quickly, regardless of your skill level. Rick Young's Focal Easy Guide to Final Cut Pro X, Second Edition is the ultimate mentor for getting up and running with Apple's professional editing software. In this step-by-step, full-color guide, Young clearly explains the key concepts and vital knowledge you need to edit your project from start to finish, providing clear, time-saving instruction on producing and outputting using Final Cut Pro X. This new edition has been updated to include: A thorough introduction to Final Cut Pro X and the philosophy by which the software works Coverage of the complete postproduction process, including setup, importing, editing, audio, effects, and output Additional sections on Multicam Editing, working with Proxies, and effective media management of Libraries Instruction on encoding, distributing, and archiving your completed projects A companion website (www.focalpress.com/9781138785533) featuring downloadable video footage that you can edit using the techniques covered in the book Packed with tutorials and real-world examples, The Focal Easy Guide to Final Cut Pro X, Second Edition will take you through the ins and outs of the software and have you editing and outputting your movies in no time! Written for Final Cut Pro X version 10.1.3 and beyond.
From a steamy jungle to a modern city, or even a sci-fi space station, 3D Game Environments is the ultimate resource to help you create AAA quality art for a variety of game worlds. Primarily using Photoshop and 3ds Max, students will learn to create realistic textures from photo source and a variety of techniques to portray dynamic and believable game worlds. With detailed tutorials on creating 3D models, applying 2D art to 3D models, and clear concise advice on issues of efficiency and optimization for a 3D game engine, Luke Ahearn gives you everything students need to make their own realistic game environments. Key Features The entire game world development process; from planning to 3D modeling, UV layout, and creating textures. Exercises and projects to practice with; each section includes projects to guide you through creating different world genres. The updated companion website-www.lukeahearn.com/textures/ now includes video tutorials in addition to updated sample textures, shaders, materials, actions, brushes, program demos, plug-ins and all art from the book-all the tools you need in one place.
3D Imaging, Analysis and Applications brings together core topics, both in terms of well-established fundamental techniques and the most promising recent techniques in the exciting field of 3D imaging and analysis. Many similar techniques are being used in a variety of subject areas and applications and the authors attempt to unify a range of related ideas. With contributions from high profile researchers and practitioners, the material presented is informative and authoritative and represents mainstream work and opinions within the community. Composed of three sections, the first examines 3D imaging and shape representation, the second, 3D shape analysis and processing, and the last section covers 3D imaging applications. Although 3D Imaging, Analysis and Applications is primarily a graduate text, aimed at masters-level and doctoral-level research students, much material is accessible to final-year undergraduate students. It will also serve as a reference text for professional academics, people working in commercial research and development labs and industrial practitioners.
The 4th Annual International Conference on Combinatorial Optimization and Applications (COCOA 2010) took place in Big Island, Hawaii, USA, December 18-20, 2010. Past COCOA conferences were held in Xi'an, China (2007), Newfoundland, Canada (2008)and Huangshan, China (2009). COCOA2010providedaforumforresearchersworkingintheareasofcom- natorial optimization and its applications. In addition to theoretical results, the conference also included recent works on experimental and applied research of general algorithmic interest. The Program Committee received 108 submissions from more than 23 countries and regions, including Australia, Austria, Canada, China, Denmark, France, Germany, Hong Kong, India, Italy, Japan, Korea, Mexico, New Zealand, Poland, Slovak Republic, Spain, Sweden, Switzerland, Taiwan, UK, USA, Vietnam, etc. Among the 108 submissions, 49 regular papers were selected for presentation at the conference and are included in this volume. Some of these papers will be selected for publication in a special issue of the Journal of Combinatorial Optimization, a special issue of Theoretical Computer Science, a special issue of Optimization Letters, and a special issue of Discrete Mathematics, Algorithms and Applications under the standard refereeing procedure.
This volume presents the latest developments in the highly active and rapidly growing field of diffusion MRI. The reader will find numerous contributions covering a broad range of topics, from the mathematical foundations of the diffusion process and signal generation, to new computational methods and estimation techniques for the in-vivo recovery of microstructural and connectivity features, as well as frontline applications in neuroscience research and clinical practice. These proceedings contain the papers presented at the 2017 MICCAI Workshop on Computational Diffusion MRI (CDMRI'17) held in Quebec, Canada on September 10, 2017, sharing new perspectives on the most recent research challenges for those currently working in the field, but also offering a valuable starting point for anyone interested in learning computational techniques in diffusion MRI. This book includes rigorous mathematical derivations, a large number of rich, full-colour visualisations and clinically relevant results. As such, it will be of interest to researchers and practitioners in the fields of computer science, MRI physics and applied mathematics.
'Subdivision' is a way of representing smooth shapes in a computer. A curve or surface (both of which contain an in?nite number of points) is described in terms of two objects. One object is a sequence of vertices, which we visualise as a polygon, for curves, or a network of vertices, which we visualise by drawing the edges or faces of the network, for surfaces. The other object is a set of rules for making denser sequences or networks. When applied repeatedly, the denser and denser sequences are claimed to converge to a limit, which is the curve or surface that we want to represent. This book focusses on curves, because the theory for that is complete enough that a book claiming that our understanding is complete is exactly what is needed to stimulate research proving that claim wrong. Also because there are already a number of good books on subdivision surfaces. The way in which the limit curve relates to the polygon, and a lot of interesting properties of the limit curve, depend on the set of rules, and this book is about how one can deduce those properties from the set of rules, and how one can then use that understanding to construct rules which give the properties that one wants.
This textbook provides an accessible general introduction to the essential topics in computer vision. Classroom-tested programming exercises and review questions are also supplied at the end of each chapter. Features: provides an introduction to the basic notation and mathematical concepts for describing an image and the key concepts for mapping an image into an image; explains the topologic and geometric basics for analysing image regions and distributions of image values and discusses identifying patterns in an image; introduces optic flow for representing dense motion and various topics in sparse motion analysis; describes special approaches for image binarization and segmentation of still images or video frames; examines the basic components of a computer vision system; reviews different techniques for vision-based 3D shape reconstruction; includes a discussion of stereo matchers and the phase-congruency model for image features; presents an introduction into classification and learning.
This text on geometry is devoted to various central geometrical topics including: graphs of functions, transformations, (non-)Euclidean geometries, curves and surfaces as well as their applications in a variety of disciplines. This book presents elementary methods for analytical modeling and demonstrates the potential for symbolic computational tools to support the development of analytical solutions. The author systematically examines several powerful tools of MATLAB (R) including 2D and 3D animation of geometric images with shadows and colors and transformations using matrices. With over 150 stimulating exercises and problems, this text integrates traditional differential and non-Euclidean geometries with more current computer systems in a practical and user-friendly format. This text is an excellent classroom resource or self-study reference for undergraduate students in a variety of disciplines.
"Beginner's Guide to Digital Painting in Photoshop" is a new series dedicated to providing a comprehensive guide to the basics of digital painting in this versatile program. Whether you're new to this artistic medium or simply looking to improve existing skills, this book offers up a wealth of suggestions and advice to get you started, improve workflows, perfect techniques, and produce stunning images.
The step-by-step tutorials within this book don't just describe techniques, but actively demonstrate how these techniques can be applied to an artwork. Industry veterans including Nykolai Aleksander and Richard Tilbury share the benefits of their years of experience in a clear and methodical fashion. They examine the various basic Photoshop tools on offer, shedding light on these features and establishing ways of successfully integrating them into an artistic workflow. Fundamental art theory is also covered, including classic topics such as composition, story-telling, portraying emotion, lighting, and color, leading to a thorough understanding of the components that make up a successful image.
Instructive and inspirational, "Beginner's Guide to Digital Painting in Photoshop" is an ideal resource for anyone taking their first steps into the digital painting world.
Nykolai Aleksander is a UK-based freelance character illustrator and portrait painter, who has been working in the CG field for the past eight years.
Richard Tilbury is a freelance artist from the United Kingdom
who works in both 2D and 3D and has been featured in a number of
This book provides an in-depth exploration of the field of augmented reality (AR) in its entirety and sets out to distinguish AR from other inter-related technologies like virtual reality (VR) and mixed reality (MR). The author presents AR from its initial philosophies and early developments, to its current technologies and its impact on our modern society, to its possible future developments; providing readers with the tools to understand issues relating to defining, building, and using our perception of what is represented in our perceived reality, and ultimately how we assimilate and react to this information. Augmented Reality: Where We Will All Live can be used as a comprehensive guide to the field of AR and provides valuable insights for technologists, marketers, business managers, educators and academics who are interested in the field of augmented reality; its concepts, history, practices and the science behind this rapidly advancing field of research and development.
This book presents high-quality papers from an international forum for research on computational approaches to learning. It includes current research and findings from various research labs, universities and institutions that may lead to development of marketable products. It also provides solid support for these findings in the form of empirical studies, theoretical analysis, or comparison to psychological phenomena. Further, it features work that shows how to apply learning methods to solve important application problems as well as how machine learning research is conducted. The book is divided into two main parts: Machine Learning Techniques, which covers machine learning-related research and findings; and, Data Analytics, which introduces recent developments in this domain. Additionally, the book includes work on data analytics using machine learning techniques.
Creative professionals seeking the fastest, easiest, most comprehensive way to learn Adobe Photoshop choose Adobe Photoshop CC Classroom in a Book (2018 release) from Adobe Press. The 15 project-based lessons show key step-by-step techniques for working in Photoshop, including how to correct, enhance, and distort digital images, create image composites, and prepare images for print and the web.
In addition to learning the essential elements of the Photoshop interface, this revised edition for the 2018 release covers features like search capabilities, Content-Aware Crop, Select and Mask, Face-Aware Liquify, designing with multiple artboards, creating and organizing enhanced brush presets, and much more!
The online companion files include all the necessary assets for readers to complete the projects featured in each chapter as well as ebook updates when Adobe releases relevant new features for Creative Cloud customers. All buyers of the book get full access to the Web Edition: a Web-based version of the complete ebook enhanced with video and multiple-choice quizzes.
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