I've run the code several times using my own face database and it seems its trying to recognize on the basis of same file names in both training and test folders !!! I changed the file names several times to check this theory and as suspected, the recognition came out to be wrong. Only once it truly recognized the same face having different file names. Most of the times, it was just matching both 1.jpg files regardless of whose picture i put there.
I'm doing a project based on face detection and your program is giving one of the best results. Can you please send me the source code for the 'facefind' function. Here's my email id: email@example.com
It'd be of great help to me. Thank you
I have wasted a lot of time trying to properly sort my image files for my image processing project before I surfed on to this code. And mathworks web tutorial on this is totally flawed. Great work! Certainly deserves a 5 star.
Excellent resource for those of us who are new to Kalman filtering. Thank you! What if the state of my system is given by a vector rather than a scalar? Can Kalman filtering work in n dimensions? If I want to train the filter on one set of data and then apply it to another, how would I do that? What if my observations are a sum of two or more signals, plus noise? How do I "tell" the Kalman filter which of the signals I want it to estimate?
Very nice implementation. But there is a minor mistake in the Kalman filter block. In propagation equation, 1/Z must be placed in somewhere else. We have P(k+1) = A.P(k).A' + Q. after this part we have to put 1/z to get P(k).
In other words, how to draw their values, provided they are stored in my data.mat?
Will the "plot" are the same and I have to use a loop "for"?
Ask directly about the code sample, it's here I deal with a couple of hours.