January 5, 2009

Books on computer vision, part 3

Filed under: computer vision/machine vision/AI, mathematics, reviews — Peter @ 10:49 pm

As I have mentioned before, I am at the initial stages of writing a book on elementary computer vision (see part 1, part 2,  and the wiki). After Digital Image Processing Using MATLAB by Gonzalez, Woods, and Eddins, another one to consider is Computer Vision by Shapiro and Stockman.

Pros:
Cons:
Some mathematics is explained.
Required:  

  • Calculus and beyond,
  • Good understanding of linear algebra.
Many illustrations are available.
Illustrations are in black and white except for inserts.
Comprehensive coverage.
3D topology is not addressed (specifically, tunnels = 1-cycles).
Algorithms are presented in pseudocode.
Prior experience with algorithms is required.
Does not rely on any programming language.
Software is not provided.
  No website.
  The prerequisites make it an advanced book.

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