I really like the idea of the Web site as a whole: explaining concepts from computer vision in a simple way.
When I was starting my masters course I was interested in learning what the concept of bag of words in computer vision was all about. Although it is straightforward technique, there are few examples on the Web explaining how to implement it (clustering the feature vectors and etc.)
Although not widely known, the best way to learn about specific computer vision topics in detail is usually through the websites for tutorials held at the premiere computer vision conferences. These are CVPR, ICCV, and ECCV. For example, here are the tutorials held at ICCV 2013: http://www.iccv2013.org/tutorials.php
If you click through, you'll see that most of them have links to slides, and some even have video coverage and/or links to software as well. They're also usually presented by experts in that area.
Finally, note that even if the most recent conferences don't have relevant tutorials for what you're looking for, you can still often find good material by going back further in time (e.g., tutorials presented 2 or more years ago). Although the state of the art may have advanced since then, the fundamentals usually don't change very frequently.
When I was starting my masters course I was interested in learning what the concept of bag of words in computer vision was all about. Although it is straightforward technique, there are few examples on the Web explaining how to implement it (clustering the feature vectors and etc.)