Computer Vision - A Modern Approach

Author: (American) Forsyth et al. / Lin Xueyuan et al.
Publisher:
Publish Date: 2005-03-01
Features: This book examines the brand-new subject of computer vision from a unique modern perspective. It provides abundant detailed information and data from relevant industries in the field of computer vision, enabling readers to gain a comprehensive and strategic overview of the topic. Readers engaged in computer graphics, robotics, and image processing will find this book highly helpful. As the application of computer vision becomes increasingly mature, learning and mastering its fundamental principles and computational methods are essential for professionals in computational geometry, computer graphics, image processing, robotics, and related fields. Due to computer vision's integration of knowledge from multiple disciplines, such as digital image processing, digital signal processing, optics, physics, geometry, applied mathematics, pattern recognition, and artificial intelligence, writing a suitable textbook is challenging. The authors of this book strive to make it systematic and well-organized while ensuring that each chapter remains relatively independent, facilitating either comprehensive reading or selective study. The book not only clarifies fundamental principles but also closely connects them to practical applications, allowing students to grasp the basics while linking them to real-world applications. It includes both classic theories and recent innovative achievements, helping students understand the historical development of computer vision while focusing on the newly researched and practically validated results of recent years. The necessary mathematical knowledge is seamlessly integrated into relevant chapters, making the content accessible and easy to understand. The authors have designed several teaching plans for students with different needs, and the online abridged version of this book has been used in several schools in the United States with positive feedback. This is one of the more successful computer vision textbooks in recent years and is also suitable for self-study by professionals interested in the field.