The Online Books Page

Computer vision

See also what's at Wikipedia, your library, or elsewhere.

• Artificial intelligence
• Image processing

• Pattern recognition systems

• Robot vision

• Machine vision
• Vision, Computer

• Programming Computer Vision with Python (prepublication draft, 2012), by Jan Erik Solem (PDF with commentary at programmingconputervision.com)
• Computer Vision: Algorithms and Applications (prepublication draft, c2010), by Richard Szeliski (PDF with commentary at szeliski.org)

• What Does the Honeybee See? And How Do We Know? A Critique of Scientific Reason (2009), by G. Adrian Horridge (PDF with commentary at ANU E Press)

Items below (if any) are from related and broader terms.

• Pattern Recognition and Machine Learning (c2006), by Christopher M. Bishop (PDF at microsoft.com)

• Voice Communication Between Humans and Machines (1994), ed. by David B. Roe and Jay G. Wilpon (page images with commentary at NAP)
• The Dragon NaturallySpeaking Guide: Speech Recognition Made Fast and Simple (second edition, 2000), by Dan Newman (PDF files at sayican.com)

• Conway's Game of Life: Mathematics and Construction (c2022), by Nathaniel Johnston and Dave Greene (PDF with commentary at conwaylife.com)
• Classical Cellular Automata: Mathematical Theory and Applications (Saarbrucken: Scholar's Press, 2014), by V. Z. Aladʹev (zipped PDF at yandex.com)
• Exploring Discrete Dynamics: The DDLab Manual (Frome, UK: Luniver Press, c2011), by Andrew Wuensche (PDF and page images with commentary in the UK)
• A New Kind of Science (Champaign, IL: Wolfram Media, c2002), by Stephen Wolfram (illustrated HTML at wolframscience.com)
• The Cellular Automaton Interpretation of Quantum Mechanics (c2016), by G. 't Hooft (PDF and EPub with commentary at springer.com)
• Evolution of Parallel Cellular Machines: The Cellular Programming Approach (electronic edition, c2004), by Moshe Sipper (PDF with commentary via moshesipper.com)
• Cellular Automata and Complexity: Collected Papers, by Stephen Wolfram (PDF files at stephenwolfram.com)

• Document Image Analysis (electronic executive briefing edition, from authors' original files; first published 1997), by Lawrence O'Gorman and Rangachar Kasturi (PDF at usf.edu)

• Practical Artificial Intelligence Programming With Java (third edition, c2008), by Mark Watson (PDF at markwatson.com)
• Artificial Intelligence and Responsive Optimization (second edition, 2003), by Mohammad Khosnevisan, Sukanto Bhattacharya, and Florentin Smarandache (PDF at UNM)
• Are We Spiritual Machines? Ray Kurzweil vs. the Critics of Strong A.I. (c2002), ed. by Jay W. Richards, contrib. by Ray Kurzweil, John R. Searle, Michael J. Denton, William A. Dembski, Thomas S. Ray, and George F. Gilder (at kurzweilai.net)
• Artificial Intelligence (third edition, reprinted with corrections; Reading, MA et al.: Addison-Wesley Pub. Co., 1993), by Patrick Henry Winston (PDF at MIT)
• The Age of Intelligent Machines (c1992), by Ray Kurzweil (at kurzweilai.net)
• Artificial Intelligence and Games (2018), by Georgios N. Yannakakis and Julian Togelius (PDF with commentary at gameaibook.org)
• The Boundaries of Humanity: Humans, Animals, Machines (Berkeley: University of California Press, 1991), ed. by James J. Sheehan and Morton Sosna (HTML at UC Press)
• Artificial Intelligence Through Prolog (1988), by Neil C. Rowe (HTML at nps.edu)
• How Mobile Robots can Self-Organise a Vocabulary (Berlin: Language Science Press, c2015), by Paul Vogt
  • PDF wih commentary at langsci-press.org
  • PDF at OAPEN
• Applications of Robotics and Artificial Intelligence to Reduce Risk and Improve Effectiveness: A Study for the United States Army (1983), by National Research Council Commission on Engineering and Technical Systems (page images with commentary at NAP)
• When Things Start to Think (c1999), by Neil A. Gershenfeld (HTML with commentary at kurzweilai.net)
• Elements of Robotics (Cham: Springer Open, c2018), by M. Ben-Ari and Francesco Mondada (PDF and EPub with commentary at EPFL and Springer)
• Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp (c1992), by Peter Norvig (multiple formats with commentary at Github)
• From Bricks to Brains: The Embodied Cognitive Science of LEGO Robots (Edmonton: AU Press, c2010), by Michael Robert William Dawson, Brian Dupuis, and Michael Wilson (PDF with commentary at AU Press)
• The Computer Revolution in Philosophy: Philosophy, Science and Models of Mind (1978, with added notes and corrections), by Aaron Sloman (HTML and PDF with commentary in the UK)
• The Origin and Its Meaning, by Roger Ellman (PDF files at the-origin.org)

• The Future Computed: Artificial Intelligence and its Role in Society (2018), by Microsoft Corporation (PDF with commentary at microsoft.com)

• Accelerando (2005), by Charles Stross (multiple formats with commentary at antipope.org)
• Old Soldiers (included on a Baen CD image; c2005), by David Weber
  • zipped CD ISO at thefifthimperium.com; 183 MB
  • zipped CD files at thefifthimperium.com; 185 MB
• Bolo! (included on a CD image), by David Weber, contrib. by Keith Laumer
  • zipped CD ISO at thefifthimperium.com; 151 MB
  • zipped CD files at thefifthimperium.com; 152 MB
• The Fourth "R", by George O. Smith
  • Gutenberg text
  • page images at durendal.org
• Halo, by Tom Maddox (HTML at dthomasmaddox.com)

• This Could Be Important: My Life and Times with the Artificial Intelligentsia (Pittsburgh: ETC Press, c2019), by Pamela McCorduck (HTML with commentary at pressbooks.com)

• The Future Computed: Artificial Intelligence and its Role in Society (2018), by Microsoft Corporation (PDF with commentary at microsoft.com)

• Journal of Artificial Intelligence Research (1993-) (full serial archives)

• Can We Trust AI? (Baltimore: Johns Hopkins University Press, c2022), by Rama Chellappa, contrib. by Eric Niiler (multiple formats with commentary at Project MUSE)
• The Future Computed: Artificial Intelligence and its Role in Society (2018), by Microsoft Corporation (PDF with commentary at microsoft.com)

• Defending AI Research: A Collection of Essays and Reviews (c1996), by John McCarthy (PDF at Stanford)

• Artificial Communication: How Algorithms Produce Social Intelligence (Cambridge, MA and London: MIT Press, c2022), by Elena Esposito (PDF files with commentary at MIT Press)
• The Future Computed: Artificial Intelligence and its Role in Society (2018), by Microsoft Corporation (PDF with commentary at microsoft.com)

• Artificial Intelligence: Foundations of Computational Agents (second edition, 2017), by David L. Poole and Alan K. Mackworth (illustrated HTML with commentary at artintinfo)

• Adaptive Control: Stability, Convergence, and Robustness (c1994), by Shankar Sastry and Marc Bodson (PDF files with commentary at Utah)

• Concrete Semantics with Isabelle/HOL (2018), by Tobias Nipkow and Gerwin Klein (PDF with commentary at concrete-semantics.org)
• Implementing Mathematics with the Nuprl Proof Development System (1985), ed. by R. L. Constable (illustrated HTML at Cornell)
• Isabelle/HOL: A Proof Assistant for Higher-Order Logic (2018), by Tobias Nipkow, Lawrence C. Paulson, and Markus Wenzel (PDF in Germany)
• Logic for Computer Science: Foundations of Automatic Theorem Proving (revised edition, 2003, with errata for the original edition and other papers), by Jean H. Gallier (PDF and Postscript files here at Penn)

• The Elements of Statistical Learning: Data Mining, Inference, and Prediction (second edition, 2009), by Trevor Hastie, Robert Tibshirani, and J. H. Friedman (PDF with commentary at Stanford)

More items available under broader and related terms at left.