Books on computer vision, part 4
As I have mentioned before, I am at the initial stages of writing a book on elementary computer vision (see part 1, part 2, part 3). The alst one was Computer Vision by Shapiro and Stockman. Now a few thoughts about Computational Homology by Kaczynski, Mischaikow, and Mrozek (Springer, 2004).
| Pros: |
Cons: |
| Thorough presentation of all the mathematics is given. |
|
| Algorithms are presented in pseudocode. |
Prior experience with algorithms is required. |
| Software (CHomP) is provided. |
Prior experience with C++ is required. |
| The homology of n-dimensional images is addressed in full generality. |
Not addressed: |
| Website contains examples and downloads. |
|
| Numerous exercises are provided. |
Projects provided online are geared toward academic research. |
| The prerequisites make it a graduate course. |
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