A Robust 3D Model Watermarking Scheme Based on Feature Recognition
2007年1月1日·
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0 分钟阅读时长
杨树国
Chunxia Li
Shenghe Sun
Yaoqun Xu
摘要
Copyright protection becomes a more and more important problem with the development of the creation and distribution of 3D model. The paper proposes a novel and robust watermarking scheme for 3D model based on the feature recognition method. Firstly, we construct the Cartesian coordinates in 3D model and extract six 2D images from six different directions according to the habit of human recognition. Secondly, We divide the images into 8 x 8 blocks and transform them in DCT domain, then embed the watermark into the middle-frequency coefficients according to the JND model of the human visual system. Finally, we retrieve the 3D model which is embedded the watermark into. The watermarking detection process is averse to the watermarking embedding process. Many experimental results show that this watermarking scheme is imperceptible, robust and able to withstand common attacks on 3D models such as mesh simplification, adding noise, model cropping.
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正教授
教授,博士生导师,哈尔滨工业大学博士后。数据科学与信息技术研究中心主任,人工智能海洋技术场景化应用山东省工程研究中心主任,青岛市人工智能海洋技术创新中心主任,青岛科技大学数学与交叉研究院院长。美国佐治亚理工学院高级访问学者、香港中文大学高级访问学者、北京交通大学高级访问学者;山东省数学会常务理事、山东省应用统计学会常务理事、人工智能海洋学专业委员会常务委员。近年来,主持或参与国家自然科学基金、国防科工委、电子工业部、省自然基金、省重点科研计划、省高校科研计划、省优秀中青年科学家基金、青岛市科技发展计划项目等各级各类科研项目40多项。
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