J. van der Spiegel, R. Etienne-Cummings, M. Nishimura
{"title":"Biologically inspired vision sensors","authors":"J. van der Spiegel, R. Etienne-Cummings, M. Nishimura","doi":"10.1109/MIEL.2002.1003158","DOIUrl":null,"url":null,"abstract":"The paper starts with a brief discussion of the biological vision system that serves as a model for the three types of vision sensors described later on. A retina-like CCD sensor whose computational properties are embedded in its structure is described first, followed by a CMOS tracking sensor that consists of a fovea for smooth pursuit and a periphery for saccadic motion control. This sensor incorporates logarithmic compression, edge detection, direction-of-motion detection and centroid localization. Finally, a CMOS sensor for the detection of image features is discussed. The sensor extracts lower-level features, such as line orientation, line stops, and intersections, in a hierarchical fashion, similar to what the simple and complex cells do in the biological system.","PeriodicalId":221518,"journal":{"name":"2002 23rd International Conference on Microelectronics. Proceedings (Cat. No.02TH8595)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2002 23rd International Conference on Microelectronics. Proceedings (Cat. No.02TH8595)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MIEL.2002.1003158","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
The paper starts with a brief discussion of the biological vision system that serves as a model for the three types of vision sensors described later on. A retina-like CCD sensor whose computational properties are embedded in its structure is described first, followed by a CMOS tracking sensor that consists of a fovea for smooth pursuit and a periphery for saccadic motion control. This sensor incorporates logarithmic compression, edge detection, direction-of-motion detection and centroid localization. Finally, a CMOS sensor for the detection of image features is discussed. The sensor extracts lower-level features, such as line orientation, line stops, and intersections, in a hierarchical fashion, similar to what the simple and complex cells do in the biological system.