From the view of computer vision, the particular quantitative analyses and evaluations about rotational, scale and affine invariance of standard model of object recognition in cortex are made based on textured images. The original textured images are scaled, rotated and affinely transformed respectively. Biological visual features of these transformed images, also called Standard Model Features(SMFs), are extracted by the standard model. The SMFs are used to classify the images. After classification, the area under curve is utilized to quantitatively analyze and evaluate whether the standard model has invariance or not. Compared with the Local Binary Pattern(LBP) feature, a great deal of experiments show that the biological visual features extracted by the standard model have superior scale, rotational and affine invariance to textured images.
biological visual feature,
Local Binary Pattern(LBP) feature,