{"title":"论文题目:基于前向神经网络的三维模型检索","authors":"Yujie Liu, Xiaolan Yao, Zongmin Li","doi":"10.1109/SMI.2008.4547992","DOIUrl":null,"url":null,"abstract":"In this paper, a forward neural network (FNN) is used for 3D model retrieval. Also the descriptor based on exponentially decaying Euclidean distance transforms (EDT) is adapted to represent the feature of a 3D model. As a kind of machine learning method, FNN is trained by the PSB trained data, and then used to sort the testing data set in this contest.","PeriodicalId":118774,"journal":{"name":"2008 IEEE International Conference on Shape Modeling and Applications","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"SHREC’08 entry: Forward neural network-based 3D model retrieval\",\"authors\":\"Yujie Liu, Xiaolan Yao, Zongmin Li\",\"doi\":\"10.1109/SMI.2008.4547992\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a forward neural network (FNN) is used for 3D model retrieval. Also the descriptor based on exponentially decaying Euclidean distance transforms (EDT) is adapted to represent the feature of a 3D model. As a kind of machine learning method, FNN is trained by the PSB trained data, and then used to sort the testing data set in this contest.\",\"PeriodicalId\":118774,\"journal\":{\"name\":\"2008 IEEE International Conference on Shape Modeling and Applications\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE International Conference on Shape Modeling and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SMI.2008.4547992\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Conference on Shape Modeling and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMI.2008.4547992","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
SHREC’08 entry: Forward neural network-based 3D model retrieval
In this paper, a forward neural network (FNN) is used for 3D model retrieval. Also the descriptor based on exponentially decaying Euclidean distance transforms (EDT) is adapted to represent the feature of a 3D model. As a kind of machine learning method, FNN is trained by the PSB trained data, and then used to sort the testing data set in this contest.
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