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Item #:
3953744
Multiple View Geometry in Computer Vision
Item #:
3953744
MAD 1065
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What Stands Out
Comprehensive Coverage
This edition thoroughly explores the mathematical foundations of multiple view geometry, presenting key concepts and advanced techniques essential for understanding computer vision applications.
Real-World Applications
The book connects theory with practical applications, demonstrating how multiple view geometry can solve real-world computer vision problems, making it invaluable for researchers and practitioners alike.
Updated Content
With enhancements and new insights, this second edition includes the latest advancements in the field, ensuring readers stay informed on cutting-edge research and methodologies.
Product Details
| Publisher | Cambridge University Press |
| Publication date | March 25, 2004 |
| Edition | 2nd |
| Language | English |
| Print length | 670 pages |
| ISBN-10 | 0521540518 |
| ISBN-13 | 978-0521540513 |
| Item Weight | 3.23 pounds (1.47 kg) |
| Dimensions | 7 x 0.25 x 9.5 inches (17.8 x 0.6 x 24.1 cm) |
Who Should Buy?
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Computer Vision Students
Ideal for students studying computer vision, providing foundational concepts and advanced topics in multiple view geometry.
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Research Professionals
Beneficial for researchers requiring in-depth knowledge of 3D reconstruction and camera calibration techniques.
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Industry Practitioners
Useful for practitioners in technology sectors implementing computer vision in applications such as robotics and augmented reality.
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Casual Learners
Not suitable for casual learners seeking an introductory guide, as it covers complex mathematical concepts and theories.
Product Description
Multiple View Geometry in Computer Vision
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Computer Vision & Pattern Recognition Editorial Review
Multiple View Geometry in Computer Vision is a comprehensive resource published by Cambridge University Press on March 25, 2004. This 670-page book is aimed at explaining complex concepts in a digestible format, with clear explanations of 2D and 3D geometry, single and two-view geometry, and trifocal geometry, making it beneficial for researchers. The authored text is recognized for its rigorous approach to projective geometry and computational algorithms, providing readers with well-structured content carefully illustrated with practical explanations. While it is immensely helpful for advanced researchers, beginners may find it challenging without a solid foundation in linear algebra and computer vision.
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Pros
- Clear explanations and motivation for complex topics
- Comprehensive resource for computer vision researchers
- Well-structured content with practical illustrations
- Rigorously detailed discussion of algorithms
- Useful Matlab code available on the website
Cons
- Might be complex for beginners without prior knowledge
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