I want to do face matching using weighted chi-square distance. now i have done with the chi-square distance. i have divided the face image into 8*8 sub images. I have assigned weights for particular region.
Kindly suggest me how i can proceed further for face matching.
chi-square distance is useful when you want to compare two histograms. Eg for LBP (Local Binary Patterns) we can compare two histograms calculated from image texture (more precise: measure distance between two histograms). SO, if you have some histograms (whatever form LBP or others image features) from different places of face then probably can you compare this with others histogram calculated from another face. That could be a some base for made a simply classifier.
As Lukasz denoted above, X^2 is a measure of two histograms similarity. See the equation below: symbols p and q denote histograms, function X^2(p,q) denotes a probability p belongs to a class of q. A weighted form you can obtain by adding a w factor inside the sum, I guess.
- Badges
- Science topic
- Similar topics
- Journal Impact Factor