I am final year computer science student from Saudi Arabia. My field of interest is image processing and artificial intelligence. I am
currently doing a remote sensing project titled (supervised
classification
of multi-spectral images using neural network). I am proficient in C/C++/Java/Matlab/Prolog.
I would like to develop and enhance digikam's face recognition capability along with image tagging.
Is there already a code for face detection/face recognition in digikam?
I am quite new to the OpenCV library. I have been reading OpenCv in the last two days.
I think I can Use Eigenfaces method to detect faces/ extract features of the faces and inject features on neural network for classification.
The advantages of this approach is that we utilize the classification power of neural network ( can be retrained as new images are identified) and maintaining speed by limiting the data to face's features.
The neural network library i am going to use Fast Artificial Neural Network Library (FANN) available at
http://leenissen.dk/fann/html/files/fann-h.html.
What do you think?
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