I am trying to determine if a series of images that I am streaming from a camera attached to a microscope is the same (up to some limit) - basically to know if the camera or sample under inspection has been moved. Since the images are streamed live the change detection has to be fast. The technique also has to be able to handle some random image noise and small changes in overall illumination of the sample. Looking at the ippIP Demo app, I saw something called Image Compare under ippIP/Image Statistics. I've been playing around with ippiNormRel_L2_8u_C1R() and it seems to work OK. Is this an acceptable way to achieve what I want? Or are there better/more robust methods? I read about background differencing in the IPP manual, as well as other methods like cross correlation.
For more complete information about compiler optimizations, see our Optimization Notice.