In the field of computer vision

it's difficult to get the disparity of features from stereo images.In this paper

a binocular filter based on anisotropic competition which adapted from FACADE theory to find disparity of features is proposed.Binocular filter use cells activity to represent the disparity distribution of features.There is competition between cells before the disparity distribution of features is acquired.Because of the horizontal bias of “eyes”configuration in binocular vision system

features with different orientation must be processed differently. Anisotropic competition is used in order to consider features with different orientation in a uniform way.The method of anisotropic competition better the performance of FACADE model by favoring the self-organization of cell activities.This approach is much different from the traditional method of matching the elements in the two images

which provides a different view of computer vision research.