{"title":"基于轮廓的3D模型:进一步识别未暴露区域","authors":"J. Zheng, F. Kishino","doi":"10.1109/ICPR.1992.201573","DOIUrl":null,"url":null,"abstract":"This paper explores a shape-from-contour method for acquiring a 3D model by using a continuous sequence of images taken as an object rotates. The authors analyze the areas that are unexposed to contours and detect them for further investigation. They describe a general approach to use the shape from contours. The goal is to establish a 3D model of the human face for the growing needs of visual communications. Some good results have been obtained.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"15 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"3D models from contours: further identification of unexposed areas\",\"authors\":\"J. Zheng, F. Kishino\",\"doi\":\"10.1109/ICPR.1992.201573\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper explores a shape-from-contour method for acquiring a 3D model by using a continuous sequence of images taken as an object rotates. The authors analyze the areas that are unexposed to contours and detect them for further investigation. They describe a general approach to use the shape from contours. The goal is to establish a 3D model of the human face for the growing needs of visual communications. Some good results have been obtained.<<ETX>>\",\"PeriodicalId\":410961,\"journal\":{\"name\":\"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition\",\"volume\":\"15 3\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPR.1992.201573\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPR.1992.201573","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
3D models from contours: further identification of unexposed areas
This paper explores a shape-from-contour method for acquiring a 3D model by using a continuous sequence of images taken as an object rotates. The authors analyze the areas that are unexposed to contours and detect them for further investigation. They describe a general approach to use the shape from contours. The goal is to establish a 3D model of the human face for the growing needs of visual communications. Some good results have been obtained.<>