《计算机视觉》封面

计算机视觉

Computer Vision

Richard Szeliski · 初版 2010 年

7人推荐
10位读者提及
10次提及

为什么值得读

  • 涵盖计算机视觉领域的全面算法知识
  • 比一般学术论文更易于理解
  • 作者在线提供免费草稿供个人学习

Hacker News 上怎么说

  • ……学术论文能把一个简单的概念弄得多么晦涩难懂,有时真是既悲惨又滑稽。不过,这个领域最受推荐的书之一可以在线获取,所以你可能想去看一看。Richard Szeliski 的《Computer Vision: Algorithms and Applications》 http://szeliski.org/Book/

    …can be tragically comical how obtuse an academic paper can make a simple concept. However, one of the most recommended books on the subject is available online, so you might want to check that out. Computer Vision: Algorithms and Applications by Richard Szeliski http://szeliski.org/Book/

  • 我觉得《Computer Vision: Algorithms and Applications》真的很好。你可以在 http://szeliski.org/Book/ 免费下载(供个人使用)。

    I found Computer Vision: Algorithms and Applications really good. You can download it for free (for personal use) at http://szeliski.org/Book/.

  • 酷。另一本你会想看的书是 Richard Szeliski 的《Computer Vision: Algorithms and Applications》第二版免费草稿,https://szeliski.org/Book/

    Cool. Another book you'll want to check out is Richard Szeliski's free draft of "Computer Vision: Algorithms and Applications", second edition, https://szeliski.org/Book/

  • Richard Szeliski 的《Computer Vision: Algorithms and Applications》有一份草稿可以在线免费获取:http://research.microsoft.com/en-us/um/people/szeliski/Book/。整体不错,但有些章节还不完整(缺少……

    There is a draft of Computer Vision: Algorithms and Applications by Richard Szeliski available for free online http://research.microsoft.com/en-us/um/people/szeliski/Book/. It's good overall, but some sections are still incomplete (missing…

  • Szeliski 还写了一本全面的《Computer Vision》书,适合想学习这个领域的人。相当不错(而且可以在线免费获取:http://szeliski.org/Book/)。

    Szeliski also has written a comprehensive Computer Vision book for those looking to learn the field. It's a fairly good one (and available for free online - http://szeliski.org/Book/).

  • 另一个主力教材是 Szeliski 2022 年出的《Computer Vision》第2版 https://szeliski.org/Book/ 。Forsyth & Ponce 那本也很棒,不过现在来看有点老了。至于 3D 方面,经典之作依然是 Hartley & Zisserman 的《多视图几何》(Multiple View Geometry)。

    The other main one is Szeliski's Computer Vision 2nd Ed from 2022 https://szeliski.org/Book/ Forsyth & Ponce is also good but somewhat old by now. And for 3d, the classic is still Hartley & Zisserman's Multiple View Geometry.

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