The motivation of visual mechanisms to machine vision: examples
视觉机制研究对机器视觉的启发示例

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.