Intuitive Volume Eraser

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• 作者：Enya Shen (18)
  Zhi-Quan Cheng (18)
  Jiazhi Xia (19)
  Sikun Li (18)
  
• 关键词：volume rendering ; sketch ; based editing ; transfer function
• 刊名：Lecture Notes in Computer Science
• 出版年：2012
• 出版时间：2012
• 年：2012
• 卷：7633
• 期：1
• 页码：258-265
• 全文大小：3136KB
• 参考文献：1. Engel, K., Hadwiger, M., Kniss, J., Rezk-Salama, C.: Real-Time Volume Graphics. A K Peters (2006) 1, 2, 3, 4
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  4. Selver, M.A., Guzelis, C.: Semiautomatic transfer function initialization for abdominal visualization using self-generating hierarchical radial basis function networks. IEEE Transactions on Visualization and Computer Graphics聽15(3), 395鈥?09 (2009) 2 CrossRef
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  10. Guo, H.Q., Mao, N.Y., Yuan, X.R.: WYSIWYG (what you see is what you get) volume visualization. IEEE Transactions on Visualization and Computer Graphics聽17(12), 2106鈥?114 (2011) 2 CrossRef
  11. Wittenbrink, C.M., Malzbender, T., Goss, M.E.: Opacity-weighted color interpolation for volume sampling. In: Proceedings of IEEE Symposium on Volume Visualization, pp. 135鈥?42 (1998) 5
  
• 作者单位：Enya Shen (18)
  Zhi-Quan Cheng (18)
  Jiazhi Xia (19)
  Sikun Li (18)
  
  18. School of Computer, National University of Defense Technology, P.R. China
  19. School of Information Science and Engineering, Central South University, P.R. China
  

文摘

We present the intuitive volume eraser, an interactive volume rendering tool, to aid direct volume data visualization and Transfer Function (TF) design. Our system adopts sketch-based editing interface which enables interactive exploring and editing operations in an intuitive and natural manner. The data features can be enlightened interactively as user desired. The editing results are saved faithfully with the What You See Is What You Get (WYSIWYG) scheme. We also provide a coupled transfer function editor for users who are used to the traditional TF editing interface. The result of experiments on various data demonstrates the effectiveness of the proposed intuitive volume eraser. The comparison of user experience also shows that our tool outperforms the state-of-the-art approaches in friendliness and efficacy.