STSIM-C Texture Similarity Experimental Procedure STSIM vector extraction Compute covariance matrix Approximate Cross Validation Compute cluster center or set example for retrieval Measure Precision@1 and RoC Experimental Settings: Global or Intraclass covariance matrix calculation Color or Grayscale features Datasets: CuReT: Fewer classes, many examples per class Represent class with many exemplars Tests under variation of lighting and viewing conditions Identical: Same texture, perceptually identical ViSiProg: Different classes; Perceptually similar Distortions: Single image with applied distortion translation, rotations, scaling, etc. Differences from previous work: Previous work would have made assumptions among feature correlation Similarity is order invariant 1-,2-Color improves accuracym; Minimal gains for 4-color