A COGNITIVE INFORMATICS THEORY FOR VISUAL INFORMATION PROCESSING

被引：0
|
作者：
Wang, Yingxu [1 ]
机构：
[1] Univ Calgary, Schulich Sch Engn, Dept Elect & Comp Engn, TESERC,ICfCI, Calgary, AB T2N 1N4, Canada
来源：
PROCEEDINGS OF THE SEVENTH IEEE INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS | 2008年
关键词：
Cognitive informatics; visual information processing; cognitive principles; gestalt principles; hypercolumns; the basic visual frame; size of pixels; visual frame; invariance; framework; hierarchical abstraction model; the brain; cognitive models; AI; computational intelligence;
D O I：
10.1109/icves.2008.4640898
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a cognitive informatics theory of visual information and knowledge processing in the brain and natural intelligence. A set of cognitive principles of visual perception is reviewed, such as the gestalt principles, the cognitive informatics principles, and the hypercolumn theory. A visual frame theory is developed to explain the visual information processing mechanisms of human vision, where the size of a unit visual frame is tested and calibrated based on vision experiments. Then, the framework of human visual information processing is established. Based on it, the mechanisms of visual information processing and the compatibility of internal representations between visual and abstract information and knowledge are elaborated.
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页码：317 / 323
页数：7
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