{"title":"基于广义Radon变换的三维模型水印索引","authors":"P. Daras, D. Zarpalas, D. Tzovaras, M. Strintzis","doi":"10.1109/TDPVT.2004.1335182","DOIUrl":null,"url":null,"abstract":"The present paper proposes a novel method for 3D-model watermarking for indexing. The proposed approach is based on the use of a generalized Radon transformation. More specifically, the cylindrical integration transform (CIT) is initially applied to the 3D models in order to produce descriptor vectors. At the same time a watermarking technique, based on CIT is used in order to embed a specific model identifier in the nodes of the 3D model. This identifier links the model to its descriptor vector, which is extracted only once and stored in a database. Every time this model is employed as a query model, watermark detection is used so as to retrieve the corresponding identifier and further the descriptor vector, which can be further used in a matching algorithm. The proposed techniques are evaluated experimentally in terms of both watermarking efficiency and content-based retrieval performance.","PeriodicalId":191172,"journal":{"name":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","volume":"110 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"3D model watermarking for indexing using the generalized Radon transform\",\"authors\":\"P. Daras, D. Zarpalas, D. Tzovaras, M. Strintzis\",\"doi\":\"10.1109/TDPVT.2004.1335182\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The present paper proposes a novel method for 3D-model watermarking for indexing. The proposed approach is based on the use of a generalized Radon transformation. More specifically, the cylindrical integration transform (CIT) is initially applied to the 3D models in order to produce descriptor vectors. At the same time a watermarking technique, based on CIT is used in order to embed a specific model identifier in the nodes of the 3D model. This identifier links the model to its descriptor vector, which is extracted only once and stored in a database. Every time this model is employed as a query model, watermark detection is used so as to retrieve the corresponding identifier and further the descriptor vector, which can be further used in a matching algorithm. The proposed techniques are evaluated experimentally in terms of both watermarking efficiency and content-based retrieval performance.\",\"PeriodicalId\":191172,\"journal\":{\"name\":\"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.\",\"volume\":\"110 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-09-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TDPVT.2004.1335182\",\"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. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TDPVT.2004.1335182","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
3D model watermarking for indexing using the generalized Radon transform
The present paper proposes a novel method for 3D-model watermarking for indexing. The proposed approach is based on the use of a generalized Radon transformation. More specifically, the cylindrical integration transform (CIT) is initially applied to the 3D models in order to produce descriptor vectors. At the same time a watermarking technique, based on CIT is used in order to embed a specific model identifier in the nodes of the 3D model. This identifier links the model to its descriptor vector, which is extracted only once and stored in a database. Every time this model is employed as a query model, watermark detection is used so as to retrieve the corresponding identifier and further the descriptor vector, which can be further used in a matching algorithm. The proposed techniques are evaluated experimentally in terms of both watermarking efficiency and content-based retrieval performance.