Computational Photography

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Computational Photography

Author : Rastislav Lukac
Publisher : CRC Press
ISBN 13 : 1439817502
Total Pages : 564 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Computational Photography by : Rastislav Lukac

Download or read book Computational Photography written by Rastislav Lukac and published by CRC Press. This book was released on 2017-12-19 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational photography refers broadly to imaging techniques that enhance or extend the capabilities of digital photography. This new and rapidly developing research field has evolved from computer vision, image processing, computer graphics and applied optics—and numerous commercial products capitalizing on its principles have already appeared in diverse market applications, due to the gradual migration of computational algorithms from computers to imaging devices and software. Computational Photography: Methods and Applications provides a strong, fundamental understanding of theory and methods, and a foundation upon which to build solutions for many of today's most interesting and challenging computational imaging problems. Elucidating cutting-edge advances and applications in digital imaging, camera image processing, and computational photography, with a focus on related research challenges, this book: Describes single capture image fusion technology for consumer digital cameras Discusses the steps in a camera image processing pipeline, such as visual data compression, color correction and enhancement, denoising, demosaicking, super-resolution reconstruction, deblurring, and high dynamic range imaging Covers shadow detection for surveillance applications, camera-driven document rectification, bilateral filtering and its applications, and painterly rendering of digital images Presents machine-learning methods for automatic image colorization and digital face beautification Explores light field acquisition and processing, space-time light field rendering, and dynamic view synthesis with an array of cameras Because of the urgent challenges associated with emerging digital camera applications, image processing methods for computational photography are of paramount importance to research and development in the imaging community. Presenting the work of leading experts, and edited by a renowned authority in digital color imaging and camera image processing, this book considers the rapid developments in this area and addresses very particular research and application problems. It is ideal as a stand-alone professional reference for design and implementation of digital image and video processing tasks, and it can also be used to support graduate courses in computer vision, digital imaging, visual data processing, and computer graphics, among others.

Computational Imaging

Author : Ayush Bhandari
Publisher : MIT Press
ISBN 13 : 0262046474
Total Pages : 482 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Computational Imaging by : Ayush Bhandari

Download or read book Computational Imaging written by Ayush Bhandari and published by MIT Press. This book was released on 2022-10-25 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive and up-to-date textbook and reference for computational imaging, which combines vision, graphics, signal processing, and optics. Computational imaging involves the joint design of imaging hardware and computer algorithms to create novel imaging systems with unprecedented capabilities. In recent years such capabilities include cameras that operate at a trillion frames per second, microscopes that can see small viruses long thought to be optically irresolvable, and telescopes that capture images of black holes. This text offers a comprehensive and up-to-date introduction to this rapidly growing field, a convergence of vision, graphics, signal processing, and optics. It can be used as an instructional resource for computer imaging courses and as a reference for professionals. It covers the fundamentals of the field, current research and applications, and light transport techniques. The text first presents an imaging toolkit, including optics, image sensors, and illumination, and a computational toolkit, introducing modeling, mathematical tools, model-based inversion, data-driven inversion techniques, and hybrid inversion techniques. It then examines different modalities of light, focusing on the plenoptic function, which describes degrees of freedom of a light ray. Finally, the text outlines light transport techniques, describing imaging systems that obtain micron-scale 3D shape or optimize for noise-free imaging, optical computing, and non-line-of-sight imaging. Throughout, it discusses the use of computational imaging methods in a range of application areas, including smart phone photography, autonomous driving, and medical imaging. End-of-chapter exercises help put the material in context.

Computational Photography

Author : Ramesh Raskar
Publisher : A K Peters/CRC Press
ISBN 13 : 9781568813134
Total Pages : 0 pages
Book Rating : 4.8/5 (131 download)

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Book Synopsis Computational Photography by : Ramesh Raskar

Download or read book Computational Photography written by Ramesh Raskar and published by A K Peters/CRC Press. This book was released on 2016-05-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Photography combines plentiful computing, digital sensors, modern optics, actuators, probes, and smart lights to escape the limitations of traditional film cameras and enables novel imaging applications. This book provides a practical guide to topics in image capture and manipulation methods for generating compelling pictures for graphics, special effects, scene comprehension, and art. The computational techniques discussed cover topics in exploiting new ideas in manipulating optics, illumination, and sensors at time of capture. In addition, the authors describe sophisticated reconstruction procedures from direct and indirect pixel measurements that go well beyond the traditional digital darkroom experience.

Computational Photography

Author : Saghi Hajisharif
Publisher : Linköping University Electronic Press
ISBN 13 : 9179299059
Total Pages : 122 pages
Book Rating : 4.1/5 (792 download)

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Book Synopsis Computational Photography by : Saghi Hajisharif

Download or read book Computational Photography written by Saghi Hajisharif and published by Linköping University Electronic Press. This book was released on 2020-02-18 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: The introduction and recent advancements of computational photography have revolutionized the imaging industry. Computational photography is a combination of imaging techniques at the intersection of various fields such as optics, computer vision, and computer graphics. These methods enhance the capabilities of traditional digital photography by applying computational techniques both during and after the capturing process. This thesis targets two major subjects in this field: High Dynamic Range (HDR) image reconstruction and Light Field (LF) compressive capturing, compression, and real-time rendering. The first part of the thesis focuses on the HDR images that concurrently contain detailed information from the very dark shadows to the brightest areas in the scenes. One of the main contributions presented in this thesis is the development of a unified reconstruction algorithm for spatially variant exposures in a single image. This method is based on a camera noise model, and it simultaneously resamples, reconstructs, denoises, and demosaics the image while extending its dynamic range. Furthermore, the HDR reconstruction algorithm is extended to adapt to the local features of the image, as well as the noise statistics, to preserve the high-frequency edges during reconstruction. In the second part of this thesis, the research focus shifts to the acquisition, encoding, reconstruction, and rendering of light field images and videos in a real-time setting. Unlike traditional integral photography, a light field captures the information of the dynamic environment from all angles, all points in space, and all spectral wavelength and time. This thesis employs sparse representation to provide an end-to-end solution to the problem of encoding, real-time reconstruction, and rendering of high dimensional light field video data sets. These solutions are applied on various types of data sets, such as light fields captured with multi-camera systems or hand-held cameras equipped with micro-lens arrays, and spherical light fields. Finally, sparse representation of light fields was utilized for developing a single sensor light field video camera equipped with a color-coded mask. A new compressive sensing model is presented that is suitable for dynamic scenes with temporal coherency and is capable of reconstructing high-resolution light field videos.

High-dimensional Gaussian Filtering for Computational Photography

Author : Andrew Bensley Adams
Publisher : Stanford University
ISBN 13 :
Total Pages : 135 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis High-dimensional Gaussian Filtering for Computational Photography by : Andrew Bensley Adams

Download or read book High-dimensional Gaussian Filtering for Computational Photography written by Andrew Bensley Adams and published by Stanford University. This book was released on 2011 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the last decade, digital imaging has become ubiquitous. The advent of cheap digital cameras, and the inclusion of cameras in almost all mobile devices, has made photography one of the basic ways in which people record and communicate experiences. The ubiquity of cameras has imposed new constraints on their physical form. Camera modules are expected to be thin, light, and cheap. These restrictions make the production of high-quality images challenging. We turn to increasingly sophisticated algorithmic tools to transform the raw data captured by a camera into a photograph. This dissertation focuses on one such family of algorithmic tools: those expressible as a Gauss transform. One popular technique in this family is the bilateral filter, which smooths the fine detail in an image without crossing strong edges. It can be used to isolate and control the sharpness, tone, and contrast of a photograph at various scales. Its relatives, the joint-bilateral filter and the joint-bilateral upsample, allow for the fusion of data from multiple images. Another popular technique in the same family is non-local means, which denoises an image by replacing each pixel with the average color of all other pixels in the image with a similar local neighborhood. A naive implementation of these algorithms is prohibitively slow. This dissertation unifies these algorithms under a common framework, describes a variety of applications of the transform in photographic image processing, and presents two new data structures to accelerate the computation of such transforms: the permutohedral lattice, and the Gaussian kd-tree.

Imaging Beyond the Pinhole Camera

Author : Kostas Daniilidis
Publisher : Springer Science & Business Media
ISBN 13 : 1402048947
Total Pages : 371 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Imaging Beyond the Pinhole Camera by : Kostas Daniilidis

Download or read book Imaging Beyond the Pinhole Camera written by Kostas Daniilidis and published by Springer Science & Business Media. This book was released on 2006-09-21 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book traces progress in photography since the first pinhole, or camera obscura, architecture. The authors describe innovations such as photogrammetry, and omnidirectional vision for robotic navigation. The text shows how new camera architectures create a need to master related projective geometries for calibration, binocular stereo, static or dynamic scene understanding. Written by leading researchers in the field, this book also explores applications of alternative camera architectures.

Computational Imaging for Scene Understanding

Author : Takuya Funatomi
Publisher : John Wiley & Sons
ISBN 13 : 1789451507
Total Pages : 356 pages
Book Rating : 4.7/5 (894 download)

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Book Synopsis Computational Imaging for Scene Understanding by : Takuya Funatomi

Download or read book Computational Imaging for Scene Understanding written by Takuya Funatomi and published by John Wiley & Sons. This book was released on 2024-05-21 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most cameras are inherently designed to mimic what is seen by the human eye: they have three channels of RGB and can achieve up to around 30 frames per second (FPS). However, some cameras are designed to capture other modalities: some may have the ability to capture spectra from near UV to near IR rather than RGB, polarimetry, different times of light travel, etc. Such modalities are as yet unknown, but they can also collect robust data of the scene they are capturing. This book will focus on the emerging computer vision techniques known as computational imaging. These include capturing, processing and analyzing such modalities for various applications of scene understanding.

Cloth Simulation for Computer Graphics

Author : Tuur Stuyck
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1681734125
Total Pages : 123 pages
Book Rating : 4.6/5 (817 download)

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Book Synopsis Cloth Simulation for Computer Graphics by : Tuur Stuyck

Download or read book Cloth Simulation for Computer Graphics written by Tuur Stuyck and published by Morgan & Claypool Publishers. This book was released on 2018-08-24 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: Physics-based animation is commonplace in animated feature films and even special effects for live-action movies. Think about a recent movie and there will be some sort of special effects such as explosions or virtual worlds. Cloth simulation is no different and is ubiquitous because most virtual characters (hopefully!) wear some sort of clothing. The focus of this book is physics-based cloth simulation. We start by providing background information and discuss a range of applications. This book provides explanations of multiple cloth simulation techniques. More specifically, we start with the most simple explicitly integrated mass-spring model and gradually work our way up to more complex and commonly used implicitly integrated continuum techniques in state-of-the-art implementations. We give an intuitive explanation of the techniques and give additional information on how to efficiently implement them on a computer. This book discusses explicit and implicit integration schemes for cloth simulation modeled with mass-spring systems. In addition to this simple model, we explain the more advanced continuum-inspired cloth model introduced in the seminal work of Baraff and Witkin [1998]. This method is commonly used in industry. We also explain recent work by Liu et al. [2013] that provides a technique to obtain fast simulations. In addition to these simulation approaches, we discuss how cloth simulations can be art directed for stylized animations based on the work of Wojtan et al. [2006]. Controllability is an essential component of a feature animation film production pipeline. We conclude by pointing the reader to more advanced techniques.

Smart Camera Design

Author : Marilyn Wolf
Publisher : Springer
ISBN 13 : 3319695231
Total Pages : 226 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Smart Camera Design by : Marilyn Wolf

Download or read book Smart Camera Design written by Marilyn Wolf and published by Springer. This book was released on 2017-11-28 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the algorithms and computer architectures used to create and analyze photographs in modern digital cameras. It also puts the capabilities of digital cameras into context for applications in art, entertainment, and video analysis. The author discusses the entire range of topics relevant to digital camera design, including image processing, computer vision, image sensors, system-on-chip, and optics, while clearly describing the interactions between design decisions at these different levels of abstraction. Readers will benefit from this comprehensive view of digital camera design, describing the range of algorithms used to compose, enhance, and analyze images, as well as the characteristics of optics, image sensors, and computing platforms that determine the physical limits of image capture and computing. The content is designed to be used by algorithm designers and does not require an extensive background in optics or electronics.

Foundations of Computational Imaging

Author : Charles A. Bouman
Publisher : SIAM
ISBN 13 : 1611977134
Total Pages : 350 pages
Book Rating : 4.6/5 (119 download)

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Book Synopsis Foundations of Computational Imaging by : Charles A. Bouman

Download or read book Foundations of Computational Imaging written by Charles A. Bouman and published by SIAM. This book was released on 2022-07-06 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Collecting a set of classical and emerging methods previously unavailable in a single resource, Foundations of Computational Imaging: A Model-Based Approach is the first book to define a common foundation for the mathematical and statistical methods used in computational imaging. The book brings together a blend of research with applications in a variety of disciplines, including applied math, physics, chemistry, optics, and signal processing, to address a collection of problems that can benefit from a common set of methods. Readers will find basic techniques of model-based image processing, a comprehensive treatment of Bayesian and regularized image reconstruction methods, and an integrated treatment of advanced reconstruction techniques, such as majorization, constrained optimization, alternating direction method of multipliers (ADMM), and Plug-and-Play methods for model integration. Foundations of Computational Imaging can be used in courses on model-based or computational imaging, advanced numerical analysis, data science, numerical optimization, and approximation theory. It will also prove useful to researchers or practitioners in medical, scientific, commercial, and industrial imaging.

Photography

Author : Mark Chen
Publisher : Routledge
ISBN 13 : 1000185249
Total Pages : 682 pages
Book Rating : 4.0/5 (1 download)

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Book Synopsis Photography by : Mark Chen

Download or read book Photography written by Mark Chen and published by Routledge. This book was released on 2020-05-31 with total page 682 pages. Available in PDF, EPUB and Kindle. Book excerpt: Finally, here is a photography textbook authored in the 21st century for 21st century audiences. Photography: A 21st Century Practice speaks to the contemporary student who has come of age in the era of digital photography and social media, where every day we collectively take more than a billion photographs. How do aspiring photographers set themselves apart from the smartphone-toting masses? How can an emerging photographic artist push the medium to new ground? The answers provided here are innovative, inclusive, and boundary shattering, thanks to the authors’ framework of the "4Cs": Craft, Composition, Content and Concept. Each is explored in depth, and packaged into a toolbox the photographic student can immediately put into practice. With a firm base in digital imaging, the authors also shed new light on chemical-based photographic processes and address the ways in which new technology is rapidly expanding photographic possibilities. In addition, Photography: A 21st Century Practice features: • 12 case studies from professional practice, featuring established photographic artists and showcasing the techniques, concepts, modes of presentation, and other professional concerns that shape their work. • Over 40 student assignments that transform theory into hands-on experience. • 800 full-color images and 200 illustrations, including photographs by some of the world’s best-known and most exciting emerging photographic artists, and illustrations that make even complex processes and ideas simple to understand. • More than 50 guided inquiries into the nature of photographic art to jump start critical thinking and group discussions.

Image Processing and Analysis with Graphs

Author : Olivier Lezoray
Publisher : CRC Press
ISBN 13 : 1439855080
Total Pages : 570 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Image Processing and Analysis with Graphs by : Olivier Lezoray

Download or read book Image Processing and Analysis with Graphs written by Olivier Lezoray and published by CRC Press. This book was released on 2017-07-12 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covering the theoretical aspects of image processing and analysis through the use of graphs in the representation and analysis of objects, Image Processing and Analysis with Graphs: Theory and Practice also demonstrates how these concepts are indispensible for the design of cutting-edge solutions for real-world applications. Explores new applications in computational photography, image and video processing, computer graphics, recognition, medical and biomedical imaging With the explosive growth in image production, in everything from digital photographs to medical scans, there has been a drastic increase in the number of applications based on digital images. This book explores how graphs—which are suitable to represent any discrete data by modeling neighborhood relationships—have emerged as the perfect unified tool to represent, process, and analyze images. It also explains why graphs are ideal for defining graph-theoretical algorithms that enable the processing of functions, making it possible to draw on the rich literature of combinatorial optimization to produce highly efficient solutions. Some key subjects covered in the book include: Definition of graph-theoretical algorithms that enable denoising and image enhancement Energy minimization and modeling of pixel-labeling problems with graph cuts and Markov Random Fields Image processing with graphs: targeted segmentation, partial differential equations, mathematical morphology, and wavelets Analysis of the similarity between objects with graph matching Adaptation and use of graph-theoretical algorithms for specific imaging applications in computational photography, computer vision, and medical and biomedical imaging Use of graphs has become very influential in computer science and has led to many applications in denoising, enhancement, restoration, and object extraction. Accounting for the wide variety of problems being solved with graphs in image processing and computer vision, this book is a contributed volume of chapters written by renowned experts who address specific techniques or applications. This state-of-the-art overview provides application examples that illustrate practical application of theoretical algorithms. Useful as a support for graduate courses in image processing and computer vision, it is also perfect as a reference for practicing engineers working on development and implementation of image processing and analysis algorithms.

Designing the Computational Image, Imagining Computational Design

Author : Daniel Cardoso Llach
Publisher : ORO Applied Research + Design
ISBN 13 : 9781954081345
Total Pages : 0 pages
Book Rating : 4.0/5 (813 download)

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Book Synopsis Designing the Computational Image, Imagining Computational Design by : Daniel Cardoso Llach

Download or read book Designing the Computational Image, Imagining Computational Design written by Daniel Cardoso Llach and published by ORO Applied Research + Design. This book was released on 2023-06 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the three decades following the Second World War, before the advent of the personal computer, government investment in university research in North America and the UK funded multidisciplinary projects to investigate the use of computers for manufacturing and design. Documenting the eponymous exhibition, Designing the Computational Image, Imagining Computational Design explores this period of remarkable inventiveness and traces its repercussions on architecture and other creative fields through the work of computational architects, designers, and artists working today. Alongside a compelling visual archive showcasing hundreds of unpublished or lesser-known computational images, drawings, films, and software, the book features essays by architecture, media, and science and technology scholars offering close readings of specific images, as well as conversations and interviews with historical protagonists and contemporary practitioners. Together, these materials illuminate in unprecedented detail the confluence of technical innovations in software, geometry, and hardware with a fledging technological imaginary of design and creativity, tracing the emergence -- and reimagining the potentials -- of a vibrant field of interdisciplinary research and practice.

Maya Ruins Revisited

Author : William Frej
Publisher :
ISBN 13 : 9780578639215
Total Pages : 240 pages
Book Rating : 4.6/5 (392 download)

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Book Synopsis Maya Ruins Revisited by : William Frej

Download or read book Maya Ruins Revisited written by William Frej and published by . This book was released on 2020-10-20 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: This stunning, substantial volume documents William Frej's forty-five year search for remote Maya sites primarily in Guatemala and Mexico, inspired in large part by his discovery of the work of German-Austrian explorer Teobert Maler, who photographed them in the late nineteenth and early twentieth centuries. Many of Frej's magnificent photographs are juxtaposed here with historic photographs taken by Maler, and reveal the changes in the landscape that have occurred in the intervening century. This unique pairing of archival material with current imagery of the same locations will be a significant addition to the literature on this ancient civilization that continues to captivate scholars and general readers alike. The book provides extended captions for all of the photographs, including their historical context in relation to Maler's images, which are archived at the Peabody Museum of Archaeology and Ethnology at Harvard University, the Ibero-American Institute in Berlin, Brigham Young University, the University of New Mexico, and the Getty Museum in Los Angeles. The author's introduction covers the challenges of finding and photographing remote Maya sites. Alma Durán-Merk and Stephan Merk contribute a biographical sketch of Teobert Maler, while Khristaan Villela addresses the historic role of photography as a tool for documenting and presenting the history of significant Maya sites. Jeremy Sabloff provides essential background on the Maya and their built environment, and a chronology of the principal periods of Maya culture. The book includes a listing of all the sites featured and their locations as well as two maps. Maya Ruins Revisited offers an engaging and stimulating visual journey to many remote and seldom-seen Maya sites, and also will serve as valuable documentation of places that are rapidly being overcome by forces of nature and man.

Natural Science Imaging and Photography

Author : Michael R. Peres
Publisher : CRC Press
ISBN 13 : 1000329178
Total Pages : 449 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Natural Science Imaging and Photography by : Michael R. Peres

Download or read book Natural Science Imaging and Photography written by Michael R. Peres and published by CRC Press. This book was released on 2021-03-11 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an in-depth exploration of scientific photography. Highlighting the best practices needed to make, distribute, and preserve scientific visual information using digital photographic methods and technologies, it offers solutions to some of the biggest challenges facing photographers. Written by a team of international, award-winning image makers with over 300 years of cumulative experience, this comprehensive resource explains the foundations used, the tools required, and the steps to needed for creating the optimal photograph in a range of environments and circumstances. Topics covered include: • ethical practices • aerial photography • close-up and macro photography • computational photography • field photography • geological photography • imaging with invisible spectrums • photographing small animals in captivity • time-based imaging • image processing in science Showcasing modern methods, this book equips readers with the skills needed to capture and process the best image possible. Designed for basic and intermediate photographers, Natural Science Imaging and Photography exists as an essential contemporary handbook.

Computer Vision -- ACCV 2007

Author : Yasushi Yagi
Publisher : Springer
ISBN 13 : 3540763864
Total Pages : 964 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Computer Vision -- ACCV 2007 by : Yasushi Yagi

Download or read book Computer Vision -- ACCV 2007 written by Yasushi Yagi and published by Springer. This book was released on 2007-11-14 with total page 964 pages. Available in PDF, EPUB and Kindle. Book excerpt: This title is part of a two volume set that constitutes the refereed proceedings of the 8th Asian Conference on Computer Vision, ACCV 2007. Coverage in this volume includes shape and texture, face and gesture, camera networks, face/gesture/action detection and recognition, learning, motion and tracking, human pose estimation, matching, face/gesture/action detection and recognition, low level vision and phtometory, motion and tracking, human detection, and segmentation.

Computer Vision

Author : Richard Szeliski
Publisher : Springer Nature
ISBN 13 : 3030343723
Total Pages : 925 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Computer Vision by : Richard Szeliski

Download or read book Computer Vision written by Richard Szeliski and published by Springer Nature. This book was released on 2022-01-03 with total page 925 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Vision: Algorithms and Applications explores the variety of techniques used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both in specialized applications such as image search and autonomous navigation, as well as for fun, consumer-level tasks that students can apply to their own personal photos and videos. More than just a source of “recipes,” this exceptionally authoritative and comprehensive textbook/reference takes a scientific approach to the formulation of computer vision problems. These problems are then analyzed using the latest classical and deep learning models and solved using rigorous engineering principles. Topics and features: Structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses Incorporates totally new material on deep learning and applications such as mobile computational photography, autonomous navigation, and augmented reality Presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects Includes 1,500 new citations and 200 new figures that cover the tremendous developments from the last decade Provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, estimation theory, datasets, and software Suitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision.