Book description
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.
THEO GEVERS, PhD, is Professor of Computer Science in the
Intelligent Systems Lab at the University of Amsterdam in the
Netherlands, and CVC Full Professor at the Computer Vision Center in
Barcelona, Spain.
ARJAN GIJSENIJ, PhD, was a postdoctoral researcher in the
Intelligent Systems Lab at the University of Amsterdam, the
Netherlands, while writing this book.
JOOST van de WEIJER, PhD, is a Ramon y Cajal Fellow at the
Universitat Autònoma de Barcelona, Spain.
JAN-MARK GEUSEBROEK, PhD, was assistant professor in the
Intelligent Systems Lab at the University of Amsterdam, the
Netherlands, while writing this book.
