color in computer vision fundamentals and applications

Download Book Color In Computer Vision Fundamentals And Applications in PDF format. You can Read Online Color In Computer Vision Fundamentals And Applications here in PDF, EPUB, Mobi or Docx formats.

Color In Computer Vision

Author : Theo Gevers
ISBN : 9781118350065
Genre : Technology & Engineering
File Size : 71. 40 MB
Format : PDF, Kindle
Download : 208
Read : 360

Download Now Read Online


While the field of computer vision drives many of today’s digital technologies and communication networks, the topic of color has emerged only recently in most computer vision applications. One of the most extensive works to date on color in computer vision, this book provides a complete set of tools for working with color in the field of image understanding. Based on the authors’ intense collaboration for more than a decade and drawing on the latest thinking in the field of computer science, the book integrates topics from color science and computer vision, clearly linking theories, techniques, machine learning, and applications. The fundamental basics, sample applications, and downloadable versions of the software and data sets are also included. Clear, thorough, and practical, Color in Computer Vision explains: Computer vision, including color-driven algorithms and quantitative results of various state-of-the-art methods Color science topics such as color systems, color reflection mechanisms, color invariance, and color constancy Digital image processing, including edge detection, feature extraction, image segmentation, and image transformations Signal processing techniques for the development of both image processing and machine learning Robotics and artificial intelligence, including such topics as supervised learning and classifiers for object and scene categorization Researchers and professionals in computer science, computer vision, color science, electrical engineering, and signal processing will learn how to implement color in computer vision applications and gain insight into future developments in this dynamic and expanding field.

Color In Computer Vision

Author : Theo Gevers
ISBN : 0470890843
Genre : Computers
File Size : 71. 47 MB
Format : PDF, Docs
Download : 853
Read : 195

Download Now Read Online


Color is an important aspect of vision. However, most computer vision applications ignore color in their methods. This book addresses the use and application of color in the field of computer vision. First, the basics of color vision and the models that are used throughout the book are described. Then, photometric invariance, i.e. invariance to distruptive imaging factors like shadow/shading and altering color of the light source, is discussed. After that, the detection and description of color image features is explained, and the book ends with some applications in which the use of color in computer vision is shown.

Computer Vision

Author : Richard Szeliski
ISBN : 1848829353
Genre : Computers
File Size : 46. 28 MB
Format : PDF, ePub, Docs
Download : 200
Read : 198

Download Now Read Online


Humans perceive the three-dimensional structure of the world with apparent ease. However, despite all of the recent advances in computer vision research, the dream of having a computer interpret an image at the same level as a two-year old remains elusive. Why is computer vision such a challenging problem and what is the current state of the art? Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos. More than just a source of “recipes,” this exceptionally authoritative and comprehensive textbook/reference also takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting them to produce descriptions of a scene. These problems are also analyzed using statistical models and solved using rigorous engineering techniques 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; presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects; provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, and Bayesian estimation theory; suggests additional reading at the end of each chapter, including the latest research in each sub-field, in addition to a full Bibliography at the end of the book; supplies supplementary course material for students at the associated website, http://szeliski.org/Book/. 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.

Biologically Inspired Computer Vision

Author : Gabriel Cristobal
ISBN : 9783527412648
Genre : Science
File Size : 35. 77 MB
Format : PDF, ePub
Download : 308
Read : 757

Download Now Read Online


As the state–of–the–art imaging technologies became more and more advanced, yielding scientific data at unprecedented detail and volume, the need to process and interpret all the data has made image processing and computer vision increasingly important. Sources of data that have to be routinely dealt with today′s applications include video transmission, wireless communication, automatic fingerprint processing, massive databanks, non–weary and accurate automatic airport screening, robust night vision, just to name a few. Multidisciplinary inputs from other disciplines such as physics, computational neuroscience, cognitive science, mathematics, and biology will have a fundamental impact in the progress of imaging and vision sciences. One of the advantages of the study of biological organisms is to devise very different type of computational paradigms by implementing a neural network with a high degree of local connectivity. This is a comprehensive and rigorous reference in the area of biologically motivated vision sensors. The study of biologically visual systems can be considered as a two way avenue. On the one hand, biological organisms can provide a source of inspiration for new computational efficient and robust vision models and on the other hand machine vision approaches can provide new insights for understanding biological visual systems. Along the different chapters, this book covers a wide range of topics from fundamental to more specialized topics, including visual analysis based on a computational level, hardware implementation, and the design of new more advanced vision sensors. The last two sections of the book provide an overview of a few representative applications and current state of the art of the research in this area. This makes it a valuable book for graduate, Master, PhD students and also researchers in the field.

Color In Computer Vision

Author : Theo Gevers
ISBN : 9781118350072
Genre : Technology & Engineering
File Size : 53. 48 MB
Format : PDF, ePub
Download : 986
Read : 150

Download Now Read Online


While the field of computer vision drives many of today’s digital technologies and communication networks, the topic of color has emerged only recently in most computer vision applications. One of the most extensive works to date on color in computer vision, this book provides a complete set of tools for working with color in the field of image understanding. Based on the authors’ intense collaboration for more than a decade and drawing on the latest thinking in the field of computer science, the book integrates topics from color science and computer vision, clearly linking theories, techniques, machine learning, and applications. The fundamental basics, sample applications, and downloadable versions of the software and data sets are also included. Clear, thorough, and practical, Color in Computer Vision explains: Computer vision, including color-driven algorithms and quantitative results of various state-of-the-art methods Color science topics such as color systems, color reflection mechanisms, color invariance, and color constancy Digital image processing, including edge detection, feature extraction, image segmentation, and image transformations Signal processing techniques for the development of both image processing and machine learning Robotics and artificial intelligence, including such topics as supervised learning and classifiers for object and scene categorization Researchers and professionals in computer science, computer vision, color science, electrical engineering, and signal processing will learn how to implement color in computer vision applications and gain insight into future developments in this dynamic and expanding field.

Color Imaging

Author : Erik Reinhard
ISBN : 9781568813448
Genre : Computers
File Size : 78. 71 MB
Format : PDF, Mobi
Download : 99
Read : 665

Download Now Read Online


This book provides the reader with an understanding of what color is, where color comes from, and how color can be used correctly in many different applications. The authors first treat the physics of light and its interaction with matter at the atomic level, so that the origins of color can be appreciated. The intimate relationship between energy levels, orbital states, and electromagnetic waves helps to explain why diamonds shimmer, rubies are red, and the feathers of the Blue Jay are blue. Then, color theory is explained from its origin to the current state of the art, including image capture and display as well as the practical use of color in disciplines such as computer graphics, computer vision, photography, and film.

Colorimetry

Author : Noboru Ohta
ISBN : 9780470094730
Genre : Technology & Engineering
File Size : 61. 36 MB
Format : PDF, Docs
Download : 777
Read : 150

Download Now Read Online


Colorimetry, the science of quantitvely describing color, is essential for color reproduction technology. This is because it creates standards by which to measure color, using mathematical techniques and software to ensure fidelity across media, allow accurate color mixing, and to develop color optimization. This book is a comprehensive and thorough introduction to colorimetry, taking the reader from basic concepts through to a variety of industrial applications. Set out in clear, easy-to-follow terminology, Ohta and Robertson explain fundamental principles such as color specification, the CIE (International Commission on Illumination) system, and color vision and appearance models. They also cover the following topics: the optimization of color reproduction; uniform color spaces and color difference formulae, including the CIEDE 2000 formula; applications of metamerism, chromatic adaptation, color appearance and color rendering; mathematical formulae for calculating color mixing, maximising luminous efficacy, and designing illuminants with specific properties. Colorimetry: Fundamentals and Applications is an ideal reference for practising color engineers, color scientists and imaging professionals working on color systems. It is also a practical guide for senior undergraduate and graduate students who want to acquire knowledge in the field.

Top Download:

New Books