{"title":"用于运动检测的基于相位的3D光流传感器","authors":"Albert Wang, A. Molnar","doi":"10.1109/ICSENS.2011.6127290","DOIUrl":null,"url":null,"abstract":"We demonstrate a computationally efficient technique for sensing optical flow using angle sensitive pixels. Angle-sensitive pixels function as spatial Gabor filters as a result of their periodic response to angle. Measuring temporal derivatives in the phase response of quadrature filters recovers information about object motion. These sensors work without a lens for global motion, or, with a lens to create a 3D map of object motion under ambient light.","PeriodicalId":201386,"journal":{"name":"2011 IEEE SENSORS Proceedings","volume":"142 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Phase-based 3D optical flow sensors for motion detection\",\"authors\":\"Albert Wang, A. Molnar\",\"doi\":\"10.1109/ICSENS.2011.6127290\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We demonstrate a computationally efficient technique for sensing optical flow using angle sensitive pixels. Angle-sensitive pixels function as spatial Gabor filters as a result of their periodic response to angle. Measuring temporal derivatives in the phase response of quadrature filters recovers information about object motion. These sensors work without a lens for global motion, or, with a lens to create a 3D map of object motion under ambient light.\",\"PeriodicalId\":201386,\"journal\":{\"name\":\"2011 IEEE SENSORS Proceedings\",\"volume\":\"142 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE SENSORS Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSENS.2011.6127290\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE SENSORS Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSENS.2011.6127290","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Phase-based 3D optical flow sensors for motion detection
We demonstrate a computationally efficient technique for sensing optical flow using angle sensitive pixels. Angle-sensitive pixels function as spatial Gabor filters as a result of their periodic response to angle. Measuring temporal derivatives in the phase response of quadrature filters recovers information about object motion. These sensors work without a lens for global motion, or, with a lens to create a 3D map of object motion under ambient light.