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A basic problem in computer vision is to understand the structure of a real world scene. This book covers relevant geometric principles and how to represent objects algebraically so they can be computed and applied. Recent major developments in the theory and practice of scene reconstruction are described in detail in a unified framework. Richard Hartley and Andrew Zisserman provide comprehensive background material and explain how to apply the methods and implement the algorithms. First Edition HB : 0-521-62304-9
Books Like Multiple View Geometry In Computer Vision
Here are 10 books that authors have personally recommended if you likeMultiple View Geometry in Computer Vision.Shepherd is a community of 6,000+ authors sharing their favorite books with the world.
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From Mark’s list oncomputer vision from a veteran professor.
David Marr shaped the field of computer vision in its early days. His seminal book laid the structure for interpreting images and one which is still largely followed. He popularised notions of the primal sketch and his work on edge detection led to one of the most sophisticated approaches. His work and influence continue to endure despite his early death: we missed and miss him a lot.
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Why Should I Read It
1author pickedVisionas one of their favorite books, and they sharewhy you should read it.
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From Mark’s list oncomputer vision from a veteran professor.
This fine book is about learning the relationships between what is seen in an image, and what is known about the world. Its a counterpart to our book on feature extraction and it shows you what can be achieved with the features. Its not for those who shy from maths, as is the case for all of the books here. So that you can build the techniques, Simons book also includes a wide variety of algorithms to help you on your way.
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What Is This Book About
From Mark’s list oncomputer vision from a veteran professor.
Richards authoritative leading textbook excellently describes the whole field of computer vision. It starts with the sensor, moves to image formation followed by feature extraction and grouping, and then by vision analysis. Its pragmatic too, with excellent descriptions of applications. And there is a ton of support material. This is a mega textbook describing the whole field of computer vision.
Multiple View Geometry In Computer Vision
This book has beencited by the following publications. This list is generated based on data provided by CrossRef.
Multimodal 3-D tracking and event detection via the particle filter
- , Australian National University, Canberra,, University of Oxford
- Publisher: Cambridge University Press
- Online publication date: January 2011
- Print publication year: 2004
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Email your librarian or administrator to recommend adding this book to your organisation’s collection.
Multiple View Geometry in Computer Vision
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An Index To The Worked Solutions
After searching in vain for solutions to the exercises in this book, I decidedto start documenting my solutions with the hope that it might provideencouragement to others like me on the path of self-study.
On the note of self-study, I would like to provide some feedback to those whohave just begun or are contemplating using this book to learn computer vision.Firstly, if you dont know this already , multiple view geometry isjust one, albeit major, facet of computer vision, not the whole of it. Youmight want to first explore computer vision breadth-wise before you decide tocommit to this one particular area.
Secondly, I found this book to be more of a compendium of research papers onmultiple view geometry rather than an introductory textbook for beginners inthe field. So if youre starting from scratch like me, I strongly recommendbecoming conversant with projective geometry, probability & statistics, linearalgebra, calculus, optimization and some image processing, before attemptingthe material, to get the most out of it.
Finally, if you put in the work, you will find the material to be rewarding.Through this book, Ive been able to learn things that I didnt even know werepossible. It has literally broadened my horizons .
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Chapter : Projective Geometry And Transformations Of 2d
If you are finding it hard to grasp the ideas in this chapter, I suggest goingthrough an introductory text on projective geometry. One book I highlyrecommend is Introduction to Projective Geometry by C.R. Wylie Jr. I alsorecommend that you play with the interative 3D graphs that are part of thesolution set for the book on this blog. Just hit the Viewin GeoGebra link and modify the lines and conics to get a feel for perspectiveprojection. The point $C$ is the center of projection, the image plane is $z =0$ and the object plane is $y = 0$.
Here are quicklinks to the exercise solutions in this chapter.