{"title":"一个模型的人类估计的三维形状从阴影信息使用零交叉","authors":"S. Kondo, K. Atsuta","doi":"10.1109/ICPR.1992.201618","DOIUrl":null,"url":null,"abstract":"Proposes a model of human estimation of 3D shape from a single image using estimation theory. Firstly it is seen, using an example, that most human subjects estimate a 3D shape from the single image which is physically contradictory. Secondly it is seen that in order to explain the human false estimate it is necessary that in human estimation a given image is divided into several regions and different illuminant directions are used depending on the regions. Thirdly a model of human estimation of 3D shape and an algorithm of 3D shape estimation following the model are proposed.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"307 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A model of human estimation of 3D shape from shading information using zero crossings\",\"authors\":\"S. Kondo, K. Atsuta\",\"doi\":\"10.1109/ICPR.1992.201618\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Proposes a model of human estimation of 3D shape from a single image using estimation theory. Firstly it is seen, using an example, that most human subjects estimate a 3D shape from the single image which is physically contradictory. Secondly it is seen that in order to explain the human false estimate it is necessary that in human estimation a given image is divided into several regions and different illuminant directions are used depending on the regions. Thirdly a model of human estimation of 3D shape and an algorithm of 3D shape estimation following the model are proposed.<<ETX>>\",\"PeriodicalId\":410961,\"journal\":{\"name\":\"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition\",\"volume\":\"307 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"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.1992.201618\",\"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.1992.201618","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A model of human estimation of 3D shape from shading information using zero crossings
Proposes a model of human estimation of 3D shape from a single image using estimation theory. Firstly it is seen, using an example, that most human subjects estimate a 3D shape from the single image which is physically contradictory. Secondly it is seen that in order to explain the human false estimate it is necessary that in human estimation a given image is divided into several regions and different illuminant directions are used depending on the regions. Thirdly a model of human estimation of 3D shape and an algorithm of 3D shape estimation following the model are proposed.<>
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