It has been a promising methodology that designs machine vision algorithms based on the vision mechanism of primate. In this paper

from the intersection points of vision mechanism and machine vision algorithms

we summarize two categories of important vision mechanisms or models

and present their corresponding machine vision algorithms. 1)Cooperative learning and competitive learning: machine vision algorithms motivated by the models typically include stereo vision

neural networks and sparse coding. 2)Simple cell and complex cell: machine vision algorithms corresponding to the models focus on HMAX feature

SFIT feature and deep belief networks.