{"title":"插图。元板块 \"的处理结果。","authors":"Yongjun Zhang","doi":"10.1111/phor.12465","DOIUrl":null,"url":null,"abstract":"FRONTISPIECE. Processing results of “MetaBoard”. The proposed calibration board “MetaBoard” is detected and processed in various calibration environments (Dong et al., this issue). The real images are captured by a singlelens reflex camera, a camera with a wideangle lens and a fisheye camera. The corresponding simulation data is rendered by Blender. Top: Target detection comparison under different illuminations. The proposed learningbased target detection algorithm is compared with traditional methods (i.e., OpenCV). Bottom: Board processing results in various scenarios. The proposed method can process the board under different distortions, tilted angles and simple or complex environments, where those scenarios are challenging for traditional methods.","PeriodicalId":22881,"journal":{"name":"The Photogrammetric Record","volume":"51 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Frontispiece. Processing results of “Meta‐Board”.\",\"authors\":\"Yongjun Zhang\",\"doi\":\"10.1111/phor.12465\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"FRONTISPIECE. Processing results of “MetaBoard”. The proposed calibration board “MetaBoard” is detected and processed in various calibration environments (Dong et al., this issue). The real images are captured by a singlelens reflex camera, a camera with a wideangle lens and a fisheye camera. The corresponding simulation data is rendered by Blender. Top: Target detection comparison under different illuminations. The proposed learningbased target detection algorithm is compared with traditional methods (i.e., OpenCV). Bottom: Board processing results in various scenarios. The proposed method can process the board under different distortions, tilted angles and simple or complex environments, where those scenarios are challenging for traditional methods.\",\"PeriodicalId\":22881,\"journal\":{\"name\":\"The Photogrammetric Record\",\"volume\":\"51 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Photogrammetric Record\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1111/phor.12465\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Photogrammetric Record","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1111/phor.12465","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
FRONTISPIECE. Processing results of “MetaBoard”. The proposed calibration board “MetaBoard” is detected and processed in various calibration environments (Dong et al., this issue). The real images are captured by a singlelens reflex camera, a camera with a wideangle lens and a fisheye camera. The corresponding simulation data is rendered by Blender. Top: Target detection comparison under different illuminations. The proposed learningbased target detection algorithm is compared with traditional methods (i.e., OpenCV). Bottom: Board processing results in various scenarios. The proposed method can process the board under different distortions, tilted angles and simple or complex environments, where those scenarios are challenging for traditional methods.