Computer Vision: Three-dimensional Reconstruction Techniques

Computer vision is a vast and ever-expanding field that uses geometry to understand and interpret visual information. This text explores the theories and computational techniques used to determine the geometric properties of solid objects through images, covering image formation, camera models, feature detection, and 3D reconstruction. It is written as a primary resource for students on university courses in computer vision and is also useful for self-study and practical applications.

Format: Hardback
Length: 338 pages
Publication date: 03 January 2024
Publisher: Springer International Publishing AG

Computer vision is a rapidly evolving field that encompasses a wide range of applications, from facial recognition to self-driving cars. Geometry plays a crucial role in this discipline, providing the mathematical framework necessary to understand the underlying principles of how we perceive and interpret visual information. This text delves into the theories and computational techniques employed to determine the geometric properties of solid objects through images. It covers the fundamental concepts and offers a solid mathematical foundation for advanced studies. The book is organized into clear and concise chapters, covering a diverse range of topics such as image formation, camera models, feature detection, and 3D reconstruction. Each chapter includes detailed explanations of the theory, accompanied by practical examples to facilitate the reader's understanding and application of the presented concepts.

Designed as a primary resource for students enrolled in university courses in computer vision, particularly in the final year of undergraduate or postgraduate computer science or engineering programs, this book is also valuable for self-study and for individuals seeking to apply computer vision to solve practical problems outside the academic realm. The book aims to strike a balance between the complexity of the theory and its practical applicability, offering a selection of specific methods with sufficient detail to enable the reader to implement them.

By exploring the theories and computational techniques employed in computer vision, this text provides a comprehensive understanding of the field and its potential applications. It serves as a valuable resource for students, researchers, and practitioners alike, contributing to the advancement of computer vision and its impact on various industries.

Weight: 686g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031345067
Edition number: 1st ed. 2024