Author: David A. Ford
Publisher:
Publish Date: 2004-07-01
Features: This book examines the brand-new subject of computer vision from a unique modern perspective. It provides a wealth of detailed information and data from related industries in the field of computer vision, enabling readers to gain a comprehensive and strategic overview of the topic. Readers working in computer graphics, robotics, or image processing will find this book very 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. Since computer vision integrates 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 keeping each chapter relatively independent, making it convenient for students to read through or select specific sections. The book not only clearly explains the basic principles but also closely connects them to practical applications, allowing students to grasp the fundamentals 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 new, practice-proven research outcomes of recent years. The book incorporates necessary mathematical knowledge into relevant chapters, making it easy to understand. The authors have designed several different teaching plans for students with varying needs. The online abridged version of this book has been used in several schools in the United States and has received positive feedback. This is one of the more successful computer vision textbooks in recent years and is also suitable for professionals interested in self-study.
Computer Vision -- A Modern Approach
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