%0 Journal Article
%T The motivation of visual mechanisms to machine vision: examples<br>视觉机制研究对机器视觉的启发示例
%A Li Xiong
%A Liu Yuncai
%A <br>李雄
%A 刘允才
%J 中国图象图形学报
%D 2013
%I 
%X 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.
%K vision mechanism of primate
%K machine vision algorithm
%K cooperative learning and competitive learning
%K simple cell and complex cell<br>灵长类动物的视觉机制
%K 机器视觉方法
%K 合作学习与竞争学习
%K 简单细胞与复杂细胞
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=AE8DAD4245F3E9A9C7B357C3DD36DA7F&yid=FF7AA908D58E97FA&vid=13553B2D12F347E8&iid=0B39A22176CE99FB&sid=04445C1D2BDA24EE&eid=3F0AF5EDBC960DB0&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=13