Gabor vectors
•Compute Gabors at (8) different orientations and (5) scales.
•Each image point -> a point in an 80 dimensional space (each Gabor output is complex).
•Compare histograms in 80D
–This is hard part.
–Dividing space into regular buckets doesn’t work.
–Cluster points
•Assign each point to a cluster
•Implicitly, this partitions space more intelligently.
–Compare using Chi-Squared or whatever you like.