Explore the vast range of titles available.

Suitable for readers studying or working in the fields of computer graphics and visualization, cognitive science, and visual neuroscience, this book provides an introduction to human visual perception. It focuses on how computer graphics images are generated, rather than solely on the visual system's organization, so the text provides a more direct tie between image generation and the resulting perceptual phenomena. It covers topics such as illumination, action, and perception of factors including material properties, pictorial space, image statistics, and spatial cognition.

Dr Donald Bailey starts with introductory material considering the problem of embedded image processing, and how some of the issues may be solved using parallel hardware solutions. Field programmable gate arrays (FPGAs) are introduced as a technology that provides flexible, fine-grained hardware that can readily exploit parallelism within many image processing algorithms. A brief review of FPGA programming languages provides the link between a software mindset normally associated with image processing algorithms, and the hardware mindset required for efficient utilization of a parallel hardware design. The design process for implementing an image processing algorithm on an FPGA is compared with that for a conventional software implementation, with the key differences highlighted. Particular attention is given to the techniques for mapping an algorithm onto an FPGA implementation, considering timing, memory bandwidth and resource constraints, and efficient hardware computational techniques. Extensive coverage is given of a range of low and intermediate level image processing operations, discussing efficient implementations and how these may vary according to the application. The techniques are illustrated with several example applications or case studies from projects or applications the author has been involved with. Issues such as interfacing between the FPGA and peripheral devices are covered briefly, as is designing the system in such a way that it can be more readily debugged and tuned. <ul type=\"disc\"> <li>Provides a bridge between algorithms and hardware</li> <li>Demonstrates how to avoid many of the potential pitfalls</li> <li>Offers practical recommendations and solutions</li> <li>Illustrates several real-world applications and case studies</li> <li>Allows those with software backgrounds to understand efficient hardware implementation</li> </ul> <p><i>Design for Embedded Image Processing on FPGAs</i>&#160;is ideal for researchers and engineers in the vision or image processing industry, who are looking at smart sensors, machine vision, and robotic vision, as well as FPGA developers and application engineers.</p> <p>The book can also be used by graduate students studying imaging systems, computer engineering, digital design, circuit design, or computer science. It can also be used as supplementary text for courses in advanced digital design, algorithm and hardware implementation, and digital signal processing and applications.</p> <p>Lecture slides for instructors available at:</p> <p>www.wiley.com/go/bailey/fpga</p>

This book gathers important ideas related to combinatorial maps and explains how the maps are applied in geometric modeling and image processing. It focuses on two subclasses of combinatorial maps: n-Gmaps and n-maps. The book presents the data structures, operations, and algorithms that are useful in handling subdivided geometric objects. It shows how to study data structures for the explicit representation of subdivided geometric objects and describes operations for handling the structures. The book also illustrates results of the design of data structures and operations.

The massive amount of nonstandard high-dimensional brain imaging data being generated is often difficult to analyze using current techniques. This challenge in brain image analysis requires new computational approaches and solutions. Unfortunately, few research papers or books in the field describe the quantitative techniques with detailed illustrations of actual imaging data and computer codes. Using MATLAB and case study data sets, this is the first book to explicitly explain how to perform statistical analysis on brain imaging data.

Explains the theory behind basic computer vision and provides a bridge from the theory to practical implementation using the industry standard OpenCV libraries Computer Vision is a rapidly expanding area and it is becoming progressively easier for developers to make use of this field due to the ready availability of high quality libraries (such as OpenCV 2).  This text is intended to facilitate the practical use of computer vision with the goal being to bridge the gap between the theory and the practical implementation of computer vision. The book will explain how to use the relevant OpenCV library routines and will be accompanied by a full working program including the code snippets from the text. This textbook is a heavily illustrated, practical introduction to an exciting field, the applications of which are becoming almost ubiquitous.  We are now surrounded by cameras, for example cameras on computers & tablets/  cameras built into our mobile phones/  cameras in games consoles; cameras imaging difficult modalities (such as ultrasound, X-ray, MRI) in hospitals, and surveillance cameras. This book is concerned with helping the next generation of computer developers to make use of all these images in order to develop systems which are more intuitive and interact with us in more intelligent ways.  * Explains the theory behind basic computer vision and provides a bridge from the theory to practical implementation using the industry standard OpenCV libraries * Offers an introduction to computer vision, with enough theory to make clear how the various algorithms work but with an emphasis on practical programming issues * Provides enough material for a one semester course in computer vision at senior undergraduate and Masters levels  * Includes the basics of cameras and images and image processing to remove noise, before moving on to topics such as image histogramming; binary imaging; video processing to detect and model moving objects; geometric operations & camera models; edge detection; features detection; recognition in images * Contains a large number of vision application problems to provide students with the opportunity to solve real problems. Images or videos for these problems are provided in the resources associated with this book which include an enhanced eBook

Update: The Kindle version of Monochromatic HDR Photography: Shooting and Processing Black & White High Dynamic Range Photos currently available for sale has been corrected and updated to address formatting issues. Monochromatic HDR Photography is the first book intended to show photographers how to work at the intersection of two up-and-coming trends that are at the forefront of the digital revolution: Black & White and High Dynamic Range imaging. The book explains techniques for extending dynamic range, monochromatic conversion methods and best practices where the two technologies intersect. Since successful digital monochromatic image creation generally requires using the color information inherent in RAW exposures, most case studies will be presented in full color. In addition, Monochromatic HDR Photography provides extensive coverage of the creative vision required to successfully create monochromatic HDR images and the workflow necessary to make art prints from this specialized image making technique. Extending Dynamic Range Understanding HDR (High Dynamic Range) photography In-Camera HDR Multi-RAW processing Lightroom Adobe Camera RAW (ACR) Shooting HDR Sequences Auto bracketing Manual bracketing Best practices Automated HDR Software Nik HDR Efex Pro Photomatix Photoshop HDR Pro Hand-HDR 　 Black & White in the Digital Era Understanding the appeal of monochrome Subject matter that works in black & white Black & white files are color Toning Split toning Solarization Common black & white conversion techniques Best practices in monochromatic conversion Photoshop B&W Adjustment Layers Nik Silver Efex Pro 　 Monochromatic HDR Workflow Using color information Best practices Converting to monochrome with extended dynamic range preservation Monochrome presets in auto-HDR software Filters to enhance monochromatic HDR Case studies and gallery 　 Specialized Black & White Gear Monochromatic single-purpose cameras (Monochrom M) Infrared HDR (IR converted camera) Notes Resources Glossary Index Harold Davis is a legendary photographer and digital artist whose work is widely collected. He is the author of many bestselling photography books, including Photographing Flowers, Photographing Waterdrops, and The Photoshop Darkroom , all published by Focal Press. Harold has been recognized as a Moab Master for his hand-crafted, fine art prints. His popular workshops are often sold out. You can find out more about Harold and his work at his website, www.photoblog2.com.

Go from 'beginner' to 'expert' with this professional, tutorial-based guide to Maya 2016 Mastering Autodesk Maya 2016 is your professional hands-on coverage to getting the most out of Maya. If you already know the basics of Maya, this book is your ticket to full coverage of all Maya 2016's latest features, and showcases the tools and methods used in real-world 3D animation and visual effects. From modeling, texturing, animation, and effects to high-level techniques for film, television, games, and more, this book expands your skill set, and helps you prepare for the Autodesk Maya certification exam. Filled with challenging tutorials and real-world scenarios this book provides valuable insight into the entire CG production timeline. Take your Maya skills to the next level with step-by-step instruction and insight from the industry professionals. Learn professional techniques used in real-world visual effects Master Dynamics, Maya Muscle, Stereo Cameras, mental ray, and more Expand your skills with advanced techniques for cloth, fur, and fluids Understand everything you need to know for the Maya certification exam