{"title":"用于高精度RGB-D采集的三目全向立体视觉系统","authors":"M. Findeisen, L. Meinel, G. Hirtz","doi":"10.1109/ELMAR.2014.6923350","DOIUrl":null,"url":null,"abstract":"Stereo vision is a commonly known and well studied principle for depth acquisition. In many applications such as indoor surveillance a low number of applied stereo sensors is desired for covering a certain scene to almost full extend. This should keep system costs low. However, the limited field of view of classical two-lens stereo cameras counteracts this objective. To overcome this limitation we present a novel configuration of three omnidirectional cameras in order to calculate a full hemispherical depth map.","PeriodicalId":424325,"journal":{"name":"Proceedings ELMAR-2014","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A trinocular omnidirectional stereo vision system for high-precision RGB-D acquisition\",\"authors\":\"M. Findeisen, L. Meinel, G. Hirtz\",\"doi\":\"10.1109/ELMAR.2014.6923350\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Stereo vision is a commonly known and well studied principle for depth acquisition. In many applications such as indoor surveillance a low number of applied stereo sensors is desired for covering a certain scene to almost full extend. This should keep system costs low. However, the limited field of view of classical two-lens stereo cameras counteracts this objective. To overcome this limitation we present a novel configuration of three omnidirectional cameras in order to calculate a full hemispherical depth map.\",\"PeriodicalId\":424325,\"journal\":{\"name\":\"Proceedings ELMAR-2014\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings ELMAR-2014\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ELMAR.2014.6923350\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings ELMAR-2014","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELMAR.2014.6923350","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A trinocular omnidirectional stereo vision system for high-precision RGB-D acquisition
Stereo vision is a commonly known and well studied principle for depth acquisition. In many applications such as indoor surveillance a low number of applied stereo sensors is desired for covering a certain scene to almost full extend. This should keep system costs low. However, the limited field of view of classical two-lens stereo cameras counteracts this objective. To overcome this limitation we present a novel configuration of three omnidirectional cameras in order to calculate a full hemispherical depth map.