Computer Vision: Algorithms and Applications, 2nd ed (szeliski.org)

The second edition of Richard Szeliski’s textbook "Computer Vision: Algorithms and Applications" is now available for purchase (Amazon, Springer, etc.) and as a downloadable PDF from the author’s site after submitting basic information. The electronic and hardcopy editions share identical content, though the PDF is optimized for online reading (different page layout), supports commenting and hyperlinked navigation to sections, equations and references, and offers handy Acrobat navigation features. The site notes a high level of uptake—179,061 downloads since 2022—and preserves reuse rules: the PDF is for personal use and must not be reposted elsewhere. For the AI/ML community this is a major reference and teaching resource: the book synthesizes decades of course material Szeliski taught at the University of Washington (2020, 2008, 2005, 2001) and Stanford (2003) with collaborators including Steve Seitz, Harpreet Sawhney and David Fleet. Its wide availability, up-to-date pedagogy, and hyperlink-enabled electronic format make it especially useful for researchers, educators, and practitioners who need a comprehensive, navigable treatment of computer vision foundations and applications. The first edition remains accessible (including Chinese and Japanese translations), and an author interview in Computer Vision News gives additional context on the book’s development.