{"title":"用于主动深度感知的注视点立体视觉系统","authors":"Emerson J. Olaya, L. Torres-Méndez","doi":"10.1109/ROSE.2009.5355982","DOIUrl":null,"url":null,"abstract":"In this paper we present the design of a biologically inspired active vision system to estimate the depth of objects in a scene. Our design considers geometric characteristics similar to that of human eyes and uses an algorithm that fovealizes the stereo images at points of interest or previous known objects. The proposed algorithm greatly reduces the computational time. We present preliminary simulated results.","PeriodicalId":107220,"journal":{"name":"2009 IEEE International Workshop on Robotic and Sensors Environments","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A foveated stereo vision system for active depth perception\",\"authors\":\"Emerson J. Olaya, L. Torres-Méndez\",\"doi\":\"10.1109/ROSE.2009.5355982\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we present the design of a biologically inspired active vision system to estimate the depth of objects in a scene. Our design considers geometric characteristics similar to that of human eyes and uses an algorithm that fovealizes the stereo images at points of interest or previous known objects. The proposed algorithm greatly reduces the computational time. We present preliminary simulated results.\",\"PeriodicalId\":107220,\"journal\":{\"name\":\"2009 IEEE International Workshop on Robotic and Sensors Environments\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE International Workshop on Robotic and Sensors Environments\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROSE.2009.5355982\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE International Workshop on Robotic and Sensors Environments","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROSE.2009.5355982","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A foveated stereo vision system for active depth perception
In this paper we present the design of a biologically inspired active vision system to estimate the depth of objects in a scene. Our design considers geometric characteristics similar to that of human eyes and uses an algorithm that fovealizes the stereo images at points of interest or previous known objects. The proposed algorithm greatly reduces the computational time. We present preliminary simulated results.