Computer Vision: Foundations and Applications
Computer Vision: Foundations and Applications is a comprehensive textbook that provides a thorough introduction to the fundamental concepts, theories, and techniques of computer vision. The book is written by two leading experts in the field, Simon J.D. Prince and J. Alison Noble, and is designed for students, researchers, and professionals who want to learn about computer vision and its applications.
The book covers a broad range of topics, including image formation, image processing, feature extraction, pattern recognition, object recognition, stereo vision, and motion analysis. It also discusses advanced topics such as machine learning, deep learning, and convolutional neural networks. Each chapter includes numerous examples and exercises, as well as references to the latest research papers and books, making it an invaluable resource for both students and researchers.
The first part of the book focuses on the foundations of computer vision, including the basics of image formation, image processing, and feature extraction. It also covers important concepts such as edge detection, corner detection, and texture analysis, and provides an introduction to machine learning and statistical pattern recognition.
The second part of the book delves deeper into the applications of computer vision. It discusses object recognition, which is the process of identifying objects in an image, and provides a detailed overview of the most popular object recognition techniques, including template matching, feature-based recognition, and deep learning-based recognition. It also covers stereo vision, which is the process of recovering the 3D structure of a scene from multiple 2D images, and motion analysis, which is the process of detecting and tracking moving objects in a video.
In addition to the theoretical concepts, the book also includes practical applications of computer vision. It discusses various applications of computer vision in fields such as robotics, surveillance, medical imaging, and autonomous vehicles, providing real-world examples and case studies.
Overall, Computer Vision: Foundations and Applications is an essential resource for anyone interested in learning about computer vision. The book provides a comprehensive and detailed introduction to the subject, covering both the fundamentals and the latest advances in the field. With its clear and concise writing style, numerous examples and exercises, and references to the latest research, the book is an ideal textbook for students, as well as a valuable reference for researchers and professionals.
