Supervised learning and detection with sigmoid transformation in R

Number of training images = 9; Number of elements = 40; Length of Gabor = 17 pixels; Local normalization or not = 1; Range of displacement = 6 pixels; Subsample rate = 1 pixel; Image height and width = 122 by 120 pixels















The first block displays the learned active basis consisting of 40 elements. Each element is symbolized by a bar. The rest of the blocks display the observed images and the corresponding deformed active bases.


      

Left: Testing image. The recognition algorithm is run on 10 resolutions,  from 10% to 100% of the testing ima.
Right: Superposed with sketch of the 40 elements of the deformed active basis at the optimal resolution.


                                                         MAX2 scores at resolutions 1 to 10.


                                                                         SUM2 map at the optimal resolution.