Computer Vision: Algorithms and Applications (2010)
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Submission timeline
2007–2026One slot for every year since HN launched. Height is that year's peak points; orange marks a 100+ point or 50+ comment breakout. Select a bar to open its strongest thread.
First comments on top threads
HN comment orderFor those interested in learning vision from a machine learning perspective I would suggest "Computer Vision: Models, Learning, and Inference" [1]. Szelinski's book is also great but gives a more classical overview of computer vision. [1] http://www.computervisionmodels.com/
An excellent book for fundamentals. Still haven't found a good textbook that covers the next level, that takes you from a student to competent practitioner. Advanced knowledge that I've picked up in this field has been from coworkers, painfully gained experience, and reading Kaggle writeups.
The first top-level comment from each of the four biggest threads, in HN’s own order. Excerpts are shortened; open a comment for full context.
- Breakout years
- 2
- Total points
- 224
- Total comments
- 42
100+ points or 50+ comments
reference only — not used in Hall rules or ranking
reference only — not used in Hall rules or ranking
Every submission
| Date | Title as submitted | By | Points | Comments |
|---|---|---|---|---|
| 2011-02-22 | Computer Vision: Algorithms and Applications | DanielRibeiro | 1 | 0 |
| 2016-08-19 | Computer Vision: Algorithms and Applications | Labo333 | 1 | 0 |
| 2016-09-27 | Computer Vision: Algorithms and Applications (2010)First breakout · Best thread | kercker | 112 | 21 |
| 2020-10-30 | Computer Vision: Algorithms and Applications, 2nd ed | krosaen | 1 | 0 |
| 2022-02-08 | Computer Vision: Algorithms and Applications, 2nd ed | rg111 | 5 | 0 |
| 2025-09-27 | Computer Vision: Algorithms and Applications, 2nd edLatest 20+ point return | ibobev | 104 | 21 |