Learning OpenCV
了解 Gary Bradski; Adrian Kaehler 的《Learning OpenCV》（Learning OpenCV）：2007-02-22–2026-11-01 的 Hacker News 数据中有 11 次提及、10 位讨论者。阅读原文摘录、比较不同观点，将它加入你的书单。
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在 Hacker News 阅读原文此记录保留了作者、时间和来源链接，请打开 HN 阅读完整上下文。
在 Hacker News 阅读原文此记录保留了作者、时间和来源链接，请打开 HN 阅读完整上下文。
在 Hacker News 阅读原文此记录保留了作者、时间和来源链接，请打开 HN 阅读完整上下文。
在 Hacker News 阅读原文此记录保留了作者、时间和来源链接，请打开 HN 阅读完整上下文。
在 Hacker News 阅读原文此记录保留了作者、时间和来源链接，请打开 HN 阅读完整上下文。
在 Hacker News 阅读原文It's rather problematic. I'd start with sciweavers ( http://www.sciweavers.org/ ), since they have a lot of readable, new papers, but the vast majority of the references are fairly math-heavy and somewhat removed from the applications. A very good resource is the Oreilly book ( http://www.amazon.com/Learning-OpenCV-Computer-Vision-Librar... ) on OpenCV, and the OpenCV source code ( https://code.ros.org/svn/opencv/trunk/opencv/ ). Imagemagick source ( http://www.imagemagick.org/script/index.php ) is also amazing for learning how basic operations are done in code. Learning to read the style of older research papers and to pull applications out of them is very useful though. It's surprising how often something seemingly overacademized and useless, when translated into code, turns out to be very useful and smart.
在 Hacker News 阅读原文The main reason is that I haven't read up to that section of "Learning OpenCV" book... I guess I have some additions to my reading list ;)
在 Hacker News 阅读原文O'Reilly "Learning OpenCV" is very well written and covers a wide range of topics. http://www.amazon.com/Learning-OpenCV-Computer-Vision-Librar...
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