If you liked Computer vision and image analysis of art by David G. Stork, start with Seeing the Light Instructor's Manual (2019), The physics of sound (1982), and Computer image analysis in the study of art (2008). These recommendations are drawn from the same author, shared genres, and reader overlap on BookOrb.

Back to Computer vision and image analysis of art · David G. Stork books in order

Recommended next reads

  1. 1 Seeing the Light Instructor's Manual 2019 · 122 pages · Dieter Brill, David G. Stork · Same author
  2. 2 The physics of sound 1982 · 370 pages · Richard E. Berg, David G. Stork · Same author
  3. 3 Computer image analysis in the study of art 2008 · 1 pages · David G. Stork · Same author
  4. 4 Computer manual in MATLAB to accompany Pattern classification, second edition 2004 · 136 pages · David G. Stork, Elad Yom-Tov · Same author
  5. 5 Pattern classification 2001 · 678 pages · David G. Stork · Same author
  6. 6 Ein Blick ins Licht 1990 · 486 pages · David S. Falk, Dieter R. Brill, David G. Stork, Anita Ehlers · Same author
  7. 7 Pixels and Paintings 2022 · 250 pages · David G. Stork · Same author
  8. 8 Computer Manual in Mathematica to Accompany Pattern Classification 2021 · 176 pages · David G. Stork, Shashidhar Sathyanarayana · Same author
  9. 9 HAL's legacy 1996 · 384 pages · David G. Stork · Same author
  10. 10 Speechreading by humans and machines 2010 · 701 pages · David G. Stork · Same author

Frequently asked questions

What should I read after Computer vision and image analysis of art?

BookOrb recommends Seeing the Light Instructor's Manual (2019), The physics of sound (1982), Computer image analysis in the study of art (2008), Computer manual in MATLAB to accompany Pattern classification, second edition (2004), and Pattern classification (2001).

Are there books like Computer vision and image analysis of art?

Yes. The list on this page is ranked from the closest matches BookOrb has for Computer vision and image analysis of art.

Who wrote Computer vision and image analysis of art?

Computer vision and image analysis of art is by David G. Stork.