{"title":"A Blind 3D Point Cloud Watermarking Algorithm Based on Azimuth Angle Modulation","authors":"Jing Liu, Yajie Yang, Douli Ma","doi":"10.1109/CISP-BMEI.2018.8633259","DOIUrl":null,"url":null,"abstract":"A new blind watermarking algorithm of 3D point cloud model by using azimuth angle modulation is proposed. The concave vertices with mean curvature lesser than 0 are used as feature vertices, and the rest vertices are considered to establish an invariant space for the greater robustness. The watermarking information is embedded repeatedly by modulating azimuth angle of feature vertices lying in different regions. Sub-regional embedding and redundant embedding enhance the performance of algorithm against common attacks. Experimental results demonstrate the proposed algorithm offers the better imperceptibility and robustness.","PeriodicalId":117227,"journal":{"name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISP-BMEI.2018.8633259","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
A new blind watermarking algorithm of 3D point cloud model by using azimuth angle modulation is proposed. The concave vertices with mean curvature lesser than 0 are used as feature vertices, and the rest vertices are considered to establish an invariant space for the greater robustness. The watermarking information is embedded repeatedly by modulating azimuth angle of feature vertices lying in different regions. Sub-regional embedding and redundant embedding enhance the performance of algorithm against common attacks. Experimental results demonstrate the proposed algorithm offers the better imperceptibility and robustness.