Multiple view geometry in computer vision

What Hacker News says

1. CarpeQuesoMar 2025
   This course is one of my favorite sets of notes and exercises to make the theory of 3D reconstruction from images more practical. I especially appreciate that the scaffolding code and images that support the problem sets are available and well-packaged. That means that unlike some online courses, I've been able to get enough tangible feedback to know whether my mental model is correct.

   The course also uses Hartley and Zisserman's book, Multiple View Geometry in Computer Vision. While it's a very comprehensive book that's definitely worth owning, it's also kind of intimidating for self-learners. The course and the book together help to balance each other.

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2. malwrarSep 2022
   I buy physical tech books because I enjoy writing notes in them to keep track of concepts while reading.

   For example I have a copy of the excellent Multiple View Geometry in Computer Vision by Hartley and Zisserman filled with little sketches and notes I took in the margins while trying to grok the book, and it’s kinda nice to be able to thumb through the book and review concepts complete with my previous thoughts and notes. I could of course do the same on my tablet or in a separate notebook of course, but something about the space constraints and commitment of real marks on paper makes it feel more rewarding.

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3. np32Jun 2021
   If you are interested in more maths and 3D Geometry, the bible of the field is "Multiple view geometry in computer vision" by Hartley and Zisserman. Szielski's book is very hands on, but is it more of a formulas + litterature review book than a clean derivation book.

   A lot of 3D Geometry algorithms are based on clean derivations and estimations, thus depending on your math fluency, you will find great enjoyment in that book too. The proofs flow really well.

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4. amstanDec 2024
   > Multiple View Geometry in Computer Vision, Richard Hartley and Andrew Zisserman, [117] (some sample chapters are available here, CVPR Tutorials are available here)

   Heh, about 10 years ago I read that book and figured out a few things:

   * triangulate position in 3d space of an object given a few 2d pictures (from known camera locations, ie: camera intrinsic and extrinsic matrices)

   * how to instruct my friend to make a simple 3d rendering "engine"

   Nice to see the same stuff distilled into an article.

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5. gghhMay 2012
   Exactly, I also though of 2d3 as soon as I have seen that blog post. I came to know the company since it is linked by the (very valuable, if I may) book "Multiple View Geometry in Computer Vision", http://www.amazon.com/Multiple-View-Geometry-Computer-Vision... . IIRC the company is run by Andrew Fitzgibbon http://research.microsoft.com/en-us/um/people/awf/ , which now seems odd to me since he's a full time researcher at Microsoft. I wander how Andrew's algorithm in the 2d3.com product differs from the one published by the youtube guys in the post.
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6. KlimentNov 2009
   Whenever I see something like this I'm reminded of the introduction to "Multiple View Geometry in Computer Vision", which is where a lot of this "clever math" is described. Essentially, problems considered unsolvable ten years ago are not only solvable, but simple, due to advances in geometry. With just a little math, you can do things like this. I wonder why it took this long for the people doing computer vision work to catch up with the math.
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