Blind Mesh Watermarking Based on the Featured Points in the Frequency Domain
A novel blind robust 3D mesh object watermarking method is proposed. Firstly, we choose the prongs of the mesh; secondly, to suppose that the prongs are the centers of the circle and the length we choose is the radius, we can get the areas which could be watermarked; and then, with the sphere coordi...
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| creator | Guangfu Ren Caiming Zhang Xingqiang Yang |
| description | A novel blind robust 3D mesh object watermarking method is proposed. Firstly, we choose the prongs of the mesh; secondly, to suppose that the prongs are the centers of the circle and the length we choose is the radius, we can get the areas which could be watermarked; and then, with the sphere coordinate, we will get the distance from the object center to the vertices, and perform DFT on the sphere radiuses; the watermark will be embedded by changing the DFT frequency coefficients. Experimental results show that this watermarking scheme is robust against the attacks such as rotation, translation, uniform scaling and even cropping and the embedded watermark is invisible. |
| doi_str_mv | 10.1109/WKDD.2009.188 |
| format | Conference Proceeding |
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Firstly, we choose the prongs of the mesh; secondly, to suppose that the prongs are the centers of the circle and the length we choose is the radius, we can get the areas which could be watermarked; and then, with the sphere coordinate, we will get the distance from the object center to the vertices, and perform DFT on the sphere radiuses; the watermark will be embedded by changing the DFT frequency coefficients. Experimental results show that this watermarking scheme is robust against the attacks such as rotation, translation, uniform scaling and even cropping and the embedded watermark is invisible.</description><identifier>ISBN: 9780769535432</identifier><identifier>ISBN: 0769535437</identifier><identifier>DOI: 10.1109/WKDD.2009.188</identifier><identifier>LCCN: 2008942391</identifier><language>eng</language><publisher>IEEE</publisher><subject>3D mesh model ; Computer science ; Data mining ; DFT ; digital watermarking ; Electronic mail ; Frequency domain analysis ; Geophysics computing ; Graphics ; Intellectual property ; Protection ; Robustness ; spherical coordinates ; Watermarking</subject><ispartof>2009 Second International Workshop on Knowledge Discovery and Data Mining, 2009, p.701-704</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4772033$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4772033$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Guangfu Ren</creatorcontrib><creatorcontrib>Caiming Zhang</creatorcontrib><creatorcontrib>Xingqiang Yang</creatorcontrib><title>Blind Mesh Watermarking Based on the Featured Points in the Frequency Domain</title><title>2009 Second International Workshop on Knowledge Discovery and Data Mining</title><addtitle>WKDD</addtitle><description>A novel blind robust 3D mesh object watermarking method is proposed. 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Experimental results show that this watermarking scheme is robust against the attacks such as rotation, translation, uniform scaling and even cropping and the embedded watermark is invisible.</description><subject>3D mesh model</subject><subject>Computer science</subject><subject>Data mining</subject><subject>DFT</subject><subject>digital watermarking</subject><subject>Electronic mail</subject><subject>Frequency domain analysis</subject><subject>Geophysics computing</subject><subject>Graphics</subject><subject>Intellectual property</subject><subject>Protection</subject><subject>Robustness</subject><subject>spherical coordinates</subject><subject>Watermarking</subject><isbn>9780769535432</isbn><isbn>0769535437</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotTj1PwzAUtIQqASUjE4v_QILt5xfbI20oIIJgAHWs3OSVGloH4nTovycSveV0HzodY9dSFFIKd7t8rqpCCeEKae0Zy5yxwpQOATWoCbscI-u0AifPWZbSlxiBaiyoC1bPdiG2_IXSli_9QP3e998hfvKZT9TyLvJhS3xBfjj0o37rQhwSDye7p98DxebIq27vQ7xik43fJcpOPGUfi_v3-WNevz48ze_qPEiDQ05gEGhdkiYDaNFb5SUp0aA1bgMSS4FliQJlq51tqBV67QglonOtkQhTdvO_G4ho9dOH8fRxpY1RAgD-ADeNS-Q</recordid><startdate>200901</startdate><enddate>200901</enddate><creator>Guangfu Ren</creator><creator>Caiming Zhang</creator><creator>Xingqiang Yang</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200901</creationdate><title>Blind Mesh Watermarking Based on the Featured Points in the Frequency Domain</title><author>Guangfu Ren ; Caiming Zhang ; Xingqiang Yang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-e3753eb6e4e73585a82a1e20c5879f315605665051d498ced04b9e515599d7153</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>3D mesh model</topic><topic>Computer science</topic><topic>Data mining</topic><topic>DFT</topic><topic>digital watermarking</topic><topic>Electronic mail</topic><topic>Frequency domain analysis</topic><topic>Geophysics computing</topic><topic>Graphics</topic><topic>Intellectual property</topic><topic>Protection</topic><topic>Robustness</topic><topic>spherical coordinates</topic><topic>Watermarking</topic><toplevel>online_resources</toplevel><creatorcontrib>Guangfu Ren</creatorcontrib><creatorcontrib>Caiming Zhang</creatorcontrib><creatorcontrib>Xingqiang Yang</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Guangfu Ren</au><au>Caiming Zhang</au><au>Xingqiang Yang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Blind Mesh Watermarking Based on the Featured Points in the Frequency Domain</atitle><btitle>2009 Second International Workshop on Knowledge Discovery and Data Mining</btitle><stitle>WKDD</stitle><date>2009-01</date><risdate>2009</risdate><spage>701</spage><epage>704</epage><pages>701-704</pages><isbn>9780769535432</isbn><isbn>0769535437</isbn><abstract>A novel blind robust 3D mesh object watermarking method is proposed. Firstly, we choose the prongs of the mesh; secondly, to suppose that the prongs are the centers of the circle and the length we choose is the radius, we can get the areas which could be watermarked; and then, with the sphere coordinate, we will get the distance from the object center to the vertices, and perform DFT on the sphere radiuses; the watermark will be embedded by changing the DFT frequency coefficients. Experimental results show that this watermarking scheme is robust against the attacks such as rotation, translation, uniform scaling and even cropping and the embedded watermark is invisible.</abstract><pub>IEEE</pub><doi>10.1109/WKDD.2009.188</doi><tpages>4</tpages></addata></record> |
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| subjects | 3D mesh model Computer science Data mining DFT digital watermarking Electronic mail Frequency domain analysis Geophysics computing Graphics Intellectual property Protection Robustness spherical coordinates Watermarking |
| title | Blind Mesh Watermarking Based on the Featured Points in the Frequency Domain |
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