Wishlist
Book Summary
This textbook provides a rigorous introduction to 3D computer vision, covering geometry, reconstruction, and recognition. Written by Klette, Schlüns, and Koschan, it balances mathematical foundations with practical algorithms. Ideal for graduate students and researchers seeking a comprehensive reference on stereo vision, shape analysis, and motion. The book emphasizes both theory and implementation, making it a valuable resource for understanding how machines perceive and model the three-dimensional world.
This book is not available
Store  |
Condition |
Deals & Coupons | Price |
Est. Shipping |
Total |
Buy |
|---|---|---|---|---|---|---|
| Sorry we could not find any result for “9789813083714” | ||||||
About Computer Vision: Three-Dimensional...
Computer Vision: Three-Dimensional Data from Images is a comprehensive textbook that explores the extraction of 3D information from 2D images. It covers fundamental concepts such as camera models, epipolar geometry, stereo matching, and shape from shading, as well as advanced topics like 3D reconstruction, object recognition, and motion analysis. The authors provide a solid mathematical framework alongside practical algorithms, enabling readers to implement and experiment with vision systems. The book includes numerous illustrations and exercises, making it suitable for graduate-level courses and self-study. It serves as both a foundational text and a reference for researchers working in computer vision, robotics, and image processing.
Who should read Computer Vision: Three-Dimensional...?
This book is intended for graduate students, researchers, and professionals in computer vision, robotics, and image processing. It suits readers with a background in linear algebra, calculus, and basic image processing who wish to deepen their understanding of 3D vision techniques. Instructors can use it as a course text, while practitioners will find it valuable for implementing algorithms. It is also appropriate for engineers and scientists who need to extract three-dimensional information from images in fields such as autonomous navigation, medical imaging, and augmented reality.
Pros & Cons
Pros
- ✓ Comprehensive coverage of 3D computer vision fundamentals and advanced topics
- ✓ Rigorous mathematical treatment balanced with practical algorithms
- ✓ Numerous illustrations and exercises to reinforce learning
- ✓ Written by recognized experts in the field
- ✓ Suitable as both a textbook and a professional reference
Cons
- ✗ Assumes prior knowledge of linear algebra and basic image processing
- ✗ Some algorithms may require additional resources for implementation
- ✗ Limited coverage of deep learning-based approaches (due to publication date)
- ✗ Not ideal for absolute beginners without mathematical maturity
- ✗ Exercises may lack solutions for self-study
Similar books
Frequently asked questions
What prior knowledge is required to understand this book?
Readers should have a solid foundation in linear algebra, calculus, and basic image processing concepts. Familiarity with programming (e.g., MATLAB or Python) is helpful for implementing the algorithms.
Does this book cover deep learning for 3D vision?
The book focuses on classical geometric and probabilistic methods. Deep learning approaches are not covered in depth, as the content predates the deep learning revolution. However, the fundamentals remain essential for understanding modern systems.
Is this book suitable for self-study?
Yes, it includes exercises and illustrations, but some mathematical maturity is needed. Supplementary online resources or courses may help clarify complex topics.
What are the main applications discussed?
Applications include 3D reconstruction, robot navigation, object recognition, motion analysis, and augmented reality, among others.
How does this book compare to other computer vision texts?
It offers a deeper focus on 3D geometry and reconstruction than general vision texts, making it a specialized reference. It complements books like Szeliski's or Hartley & Zisserman's.
At Windsorbooks, we compare prices from trusted sellers so you can buy, rent, or sell textbooks at the best total price — shipping included.
As an Amazon Associate, Windsorbooks.com may earn a small commission on qualifying purchases.