{"title":"基于旋转和大小扩展关联神经网络的正常和模糊人脸的形状、方向和大小识别","authors":"K. Nakamura, K. Arimura, K. Takase","doi":"10.1109/IJCNN.2002.1007524","DOIUrl":null,"url":null,"abstract":"In the present study, we developed a rotation and size spreading associative neural network (RS-SAN net) to accomplish view invariant recognition of human faces. Then we developed an extended RS-SAN net to accomplish view dependent recognition of ambiguous faces. The RS-SAN net correctly recognized face shape irrespective of its orientation and size, the face orientation irrespective of its shape and size, and the face size irrespective of its shape and orientation. The extended RS-SAN net recognizes each ambiguous face as two different faces depending on whether it is upright or inverted, irrespective of its size.","PeriodicalId":382771,"journal":{"name":"Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290)","volume":" 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Shape, orientation and size recognition of normal and ambiguous faces by a rotation and size spreading associative neural network\",\"authors\":\"K. Nakamura, K. Arimura, K. Takase\",\"doi\":\"10.1109/IJCNN.2002.1007524\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the present study, we developed a rotation and size spreading associative neural network (RS-SAN net) to accomplish view invariant recognition of human faces. Then we developed an extended RS-SAN net to accomplish view dependent recognition of ambiguous faces. The RS-SAN net correctly recognized face shape irrespective of its orientation and size, the face orientation irrespective of its shape and size, and the face size irrespective of its shape and orientation. The extended RS-SAN net recognizes each ambiguous face as two different faces depending on whether it is upright or inverted, irrespective of its size.\",\"PeriodicalId\":382771,\"journal\":{\"name\":\"Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290)\",\"volume\":\" 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IJCNN.2002.1007524\",\"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 of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IJCNN.2002.1007524","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Shape, orientation and size recognition of normal and ambiguous faces by a rotation and size spreading associative neural network
In the present study, we developed a rotation and size spreading associative neural network (RS-SAN net) to accomplish view invariant recognition of human faces. Then we developed an extended RS-SAN net to accomplish view dependent recognition of ambiguous faces. The RS-SAN net correctly recognized face shape irrespective of its orientation and size, the face orientation irrespective of its shape and size, and the face size irrespective of its shape and orientation. The extended RS-SAN net recognizes each ambiguous face as two different faces depending on whether it is upright or inverted, irrespective of its size.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
