Multiple View Geometry in Computer Vision 2nd Edition | Richard Hartley | 978-0521540513 | Paperback

Multiple View Geometry in Computer Vision book by Richard Hartley is one of the most sought-after titles in Mathematics & Statistics. As a leading mathematics textbook, statistics reference guide, data math handbook, buy math book online, this book is trusted by students, professionals, and practitioners worldwide. Nybookshub brings you this authentic 2nd Edition Paperback edition with fast global shipping.

About This Book

Multiple View Geometry in Computer Vision book is a definitive Mathematics & Statistics resource written by Richard Hartley, Andrew Zisserman. This 2nd Edition edition delivers comprehensive coverage of core concepts, real-world applications, and the latest developments in the field. Whether you are a student, researcher, or working professional, this book serves as an indispensable reference and mathematics textbook.

• Author: Richard Hartley, Andrew Zisserman
• Edition: 2nd Edition
• Format / Binding: Paperback
• ISBN: 978-0521540513
• Pages: 608
• Subject: Mathematics & Statistics
• Language: English
• Publisher: Leading Academic Publisher
• Sold by: Nybookshub

What You Will Learn

Reading Multiple View Geometry in Computer Vision book gives you a structured, expert-guided path through Mathematics & Statistics. Key learning outcomes include:

• Deep understanding of core theories and foundational principles in Mathematics & Statistics
• Practical, real-world techniques directly applicable to academic and professional settings
• Case studies, worked examples, and exercises that reinforce key concepts
• Up-to-date knowledge reflecting the latest standards and practices in the field
• A reliable reference you can return to throughout your career or studies

About the Author

Richard Hartley, Andrew Zisserman bring decades of combined academic research and professional expertise to this work. Widely recognised authorities in Mathematics & Statistics, their writing style balances scholarly rigour with practical accessibility — making complex topics understandable without sacrificing depth.

Why Buy from Nybookshub?

• ? 100% Authentic Edition — publisher-original, not a reprint or photocopy
• ? Fast US, UK & Global Shipping — tracked delivery to your door worldwide
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Frequently Asked Questions (FAQ)

Is this the genuine/original edition of Multiple View Geometry in Computer Vision?

Yes, absolutely. Every copy of Multiple View Geometry in Computer Vision sold by Nybookshub is a 100% authentic, publisher-original edition — not a reprint, photocopy, or unauthorised reproduction. You receive the exact same book you would find in an academic bookstore.

Who is the author of Multiple View Geometry in Computer Vision?

This book is authored by Richard Hartley and co-authors (Richard Hartley, Andrew Zisserman). The author(s) are recognised experts in Mathematics & Statistics and the content reflects their extensive academic and professional expertise.

What format and binding is this edition?

This listing is for the Paperback edition. The book contains 608 pages and carries ISBN 978-0521540513. Please verify the ISBN matches your requirement before ordering, especially if your institution specifies a particular edition.

Does Nybookshub ship internationally?

Yes. Nybookshub ships Multiple View Geometry in Computer Vision worldwide including the US, UK, Canada, Australia, UAE, India, and most countries globally. Expedited and standard shipping options are available at checkout.

How long will delivery take?

Delivery timelines depend on your location and chosen shipping method. Orders are dispatched promptly and full tracking information is provided. International deliveries typically arrive within 7–21 business days depending on the destination country.

Can I use this book for my university or professional course?

Yes. Multiple View Geometry in Computer Vision is widely used across universities, professional certification programmes, and self-study curricula in Mathematics & Statistics. Always confirm with your institution that this edition number matches the prescribed course material.

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