{"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}
引用次数: 4
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.