Dynamic Vision: From Images to Face Recognition

Dynamic Vision: From Images to Face Recognition

🔹 Editors: Shaogang Gong
                        Stephen J. McKenna
                       Alexandra Psarrou

🔹 Publisher: Imperial College Press

🔹 Edition & Year: 2000 Edition

🔹 Binding: Hardcover

🔹 Pages: 344

🔹 Size: 6.5 in × 9 in

Dynamic Vision: From Images to Face Recognition is a significant academic work that examines the evolution and application of computer vision technologies, particularly in the domain of face recognition and image analysis. This 2000 hardcover edition (344 pages, 6.5 × 9 inches) offers both technical depth and scholarly value.

The book brings together contributions from experts in the field, providing a comprehensive overview of methods used to interpret and analyze visual data. It covers key areas such as motion analysis, object tracking, pattern recognition, and facial recognition systems.

One of the defining strengths of this work is its focus on dynamic vision—how systems process changing visual information over time. This distinguishes it from static image analysis and reflects real-world applications such as surveillance, human-computer interaction, and automated recognition systems.

The text explores both theoretical frameworks and practical implementations, making it valuable for understanding the foundations of modern computer vision technologies. It provides insights into algorithms, models, and computational techniques used in the field.

The writing style is technical and structured, aimed at readers with a background in computer science, engineering, or related disciplines. It serves as both a reference work and a research resource.

Published by Imperial College Press, the book carries strong academic credibility and is well-suited for university libraries and professional collections. The hardcover format ensures durability for long-term use.

As a 2000 publication, the book captures an important stage in the development of computer vision, making it historically relevant as well as technically informative.

Dynamic Vision is more than a technical volume—it is a key contribution to the study of how machines interpret the visual world.

• ✦ Editors: Shaogang Gong, Stephen J. McKenna, Alexandra Psarrou
• ✦ Publisher: Imperial College Press, 2000 Edition
• ✦ Format: Hardcover, 344 pages
• ✦ Size: 6.5 × 9 inches – academic format
• ✦ Genre: Computer Science / Artificial Intelligence
• ✦ Subject: Computer vision and face recognition
• ✦ Content: Algorithms, models, and applications
• ✦ Writing Style: Technical, structured, and analytical
• ✦ Academic Importance: Early work in modern vision systems
• ✦ Ideal For: Researchers, engineers, students, collectors
• ✦ Collector Value: Early academic AI publication

🔹 Collector’s Note

This 2000 hardcover edition of Dynamic Vision: From Images to Face Recognition is a valuable collectible for those interested in the evolution of artificial intelligence and computer vision. Its academic significance, technical depth, and association with Imperial College Press make it an excellent addition to collections focused on technology, AI research, and scientific literature.