I know that before running Principal component analys, the input data needs to be centered around its mean (subtract the mean from each keypoint) before running the algorithm.
Do I need to center my data before running robust PCA ?
For instance, say I have a video from a static security camera (like in the original work). Do I need to subtract from each pixel (in each frame), its mean value over the duration of the video?
p.s. any other pre-processing required for RPCA?