I'd like to disscus fd toolbox. I've got matlab 2010.
mexme_fdt.m ends with error: Could not find specified options file
'mexopts_intel10.bat'. Even if i have it in matlab path. Could anyone help me please?
I agree in principle that not all techniques are making the recognition performance on all databases bettr. However, my goal was not to make only the best existing normalization techniques available to the research community, but to provide a set of methods, for which you can make your own judgement of their usefulnes. Since the success of a techniques may well depened on the feature extraction techniques you are using as well as other factors, it is not certain which technique is the best. Many authors advertise their techniques as being the best, therefore having source code available to test them on your own is really important. Knowing which techniques do not work and why, can therefore also be of relevance.
Adam, both the anisotorpic and isotorpic photometric normalization techniques in the toolbox are implemented via the inverse of a large sparse matrix, but they could of course also be implemented using multigrid methods. Regarding your results with the retinex techniques, I am not quite sure what you mean poor results. Are the recognition results poor when you use the images for face recognition or do you get visualy poor results. In any case the retinex technique does not depend on face registration at all.
It may be easier to iteratively do anisotropic and isotropic filtering for some people. Also, with the retinex imaging I tend to get poor results, with weird shadows in places they shouldnt be. I am not sure if its because you need good face registration or not so Ill have to read the paper.