{"title":"3D打印扫描弹性局部网格水印","authors":"Yanmei Chen, Zehua Ma, Hang Zhou, Weiming Zhang","doi":"10.1109/WIFS53200.2021.9648379","DOIUrl":null,"url":null,"abstract":"Existing 3D print-scan watermarking schemes usually have some limitations, such as the use of auxiliary materials and expensive high-resolution devices, and low visual quality of watermarked models. Considering these limitations, we propose a novel localized mesh watermarking method, which is resilient to 3D print-scan process and suitable for ordinary consumer-level 3D printing and scanning devices. In our scheme, we use the geodesic distances of the model's surface to determine the location and scope of the localized embedded watermark and construct a special tracking signal for the synchronization of the watermark. When detecting the watermark, we amplify the watermark signal through the residual mesh and achieve blind watermark detection. By evaluating various 3D mesh models, we demonstrate that the proposed localized watermarking method can ensure a high watermark extraction accuracy after the 3D print-scan process while maintaining high visual quality.","PeriodicalId":196985,"journal":{"name":"2021 IEEE International Workshop on Information Forensics and Security (WIFS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"3D Print-Scan Resilient Localized Mesh Watermarking\",\"authors\":\"Yanmei Chen, Zehua Ma, Hang Zhou, Weiming Zhang\",\"doi\":\"10.1109/WIFS53200.2021.9648379\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Existing 3D print-scan watermarking schemes usually have some limitations, such as the use of auxiliary materials and expensive high-resolution devices, and low visual quality of watermarked models. Considering these limitations, we propose a novel localized mesh watermarking method, which is resilient to 3D print-scan process and suitable for ordinary consumer-level 3D printing and scanning devices. In our scheme, we use the geodesic distances of the model's surface to determine the location and scope of the localized embedded watermark and construct a special tracking signal for the synchronization of the watermark. When detecting the watermark, we amplify the watermark signal through the residual mesh and achieve blind watermark detection. By evaluating various 3D mesh models, we demonstrate that the proposed localized watermarking method can ensure a high watermark extraction accuracy after the 3D print-scan process while maintaining high visual quality.\",\"PeriodicalId\":196985,\"journal\":{\"name\":\"2021 IEEE International Workshop on Information Forensics and Security (WIFS)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE International Workshop on Information Forensics and Security (WIFS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WIFS53200.2021.9648379\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Workshop on Information Forensics and Security (WIFS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WIFS53200.2021.9648379","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
3D Print-Scan Resilient Localized Mesh Watermarking
Existing 3D print-scan watermarking schemes usually have some limitations, such as the use of auxiliary materials and expensive high-resolution devices, and low visual quality of watermarked models. Considering these limitations, we propose a novel localized mesh watermarking method, which is resilient to 3D print-scan process and suitable for ordinary consumer-level 3D printing and scanning devices. In our scheme, we use the geodesic distances of the model's surface to determine the location and scope of the localized embedded watermark and construct a special tracking signal for the synchronization of the watermark. When detecting the watermark, we amplify the watermark signal through the residual mesh and achieve blind watermark detection. By evaluating various 3D mesh models, we demonstrate that the proposed localized watermarking method can ensure a high watermark extraction accuracy after the 3D print-scan process while maintaining high visual quality.