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    题名: 使用適應性直方圖均衡化之加速與風格化淺浮雕生成
    Fast and stylized bas-relief generation using adaptive histogram equalization
    作者: 黃嗣心
    Huang, Ssu Shin
    贡献者: 紀明德
    Chi, Ming Te
    黃嗣心
    Huang, Ssu Shin
    关键词: 淺浮雕
    適應性直方圖均衡化
    幾何生成
    非相片寫實電腦繪圖
    bas-relief
    adaptive histogram equalization
    geometry generation
    non-photorealistic rendering
    日期: 2012
    上传时间: 2015-05-01 11:37:05 (UTC+8)
    摘要: 浮雕是雕刻藝術中重要的表現方法,藉由在平板上雕刻出高低落差,傳達出豐富的形狀視覺線索,是介於3D雕塑和2D畫作中間的一種物體外形的表現方式。本論文將針對淺浮雕這類型相對高度較低的浮雕技法,將要表達的3D場景壓縮到接近平面但盡可能保留細節。我們使用適應性直方圖均衡化技術去壓縮高度的動態範圍並盡可能強化細節,且經由降低取樣點數量的技巧加速適應性直方圖均衡化的計算,以利於使用者進行互動性自訂風格化。另外依照場景特徵的流向,增加特殊的刻紋去豐富淺浮雕的風格表現。
    Relief is a sculptural technique to express the shape feature on a flat surface. It is an art medium between 3D sculpture and 2D painting. In this thesis, we focus on bas-relief, which is a relatively low relief to compress the depth of 3D scene to a shallow overall depth and preserve details of the shape. We use the adaptive histogram equalization (AHE) to compress the depth range and enhance details, and accelerate the AHE computation by sample reduction, which is in favor of the user interaction of custom stylization. Furthermore, adding special carving patterns according to feature flows of the scene enriches the stylization of the relief generation.
    參考文獻: [1] M. Alexa, and W. Matusik, “Reliefs as images,” ACM Transactions on Graphics (SIGGRAPH 2010), vol. 29, no. 4, art. 60, 2010.
    [2] P. N. Belhumeur, D. J. Kriegman, and A. L. Yuille, “The bas-relief ambiguity,” International Journal of Computer Vision, vol. 35, no. 1, pp. 33–44, 1999.
    [3] B. Cabral, and L. C. Leedom, “Imaging vector fields using line integral convolution,” SIGGRAPH `93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques, pp.263–270, 1993.
    [4] P. Cignoni, C. Montani, and R. Scopigno, “Computer-assisted generation of bas- and high-reliefs,” Journal of Graphics Tools, vol. 2, no. 3, pp.15–28, 1997.
    [5] J. Dicarlo, and B. Wandell, “Rendering high dynamic range images,” In Proceedings of the SPIE Electronic Imaging’2000 conference, vol. 3965, 392–401.
    [6] D. Dunbar, and G. Humphreys, “A spatial data structure for fast poisson-disk sample generation,” ACM Transactions on Graphics (SIGGRAPH 2006), vol. 25, no. 3, pp.503–508, 2006.
    [7] R. Fattal, D. Lischinski, and M. Werman, “Gradient domain high dynamic range compression,” ACM Transactions on Graphics, vol. 21, no. 3, pp.249–256, 2002.
    [8] A. Hertzmann, “Stroke-based rendering,” in K.-L. Ma, editor, Recent Advances in Non-Photorealistic Rendering for Art and Visualization, SIGGRAPH 2002 Course Notes.
    [9] B. Jobard, W. Lefer, “Creating evenly-spaced streamlines of arbitrary density,” in Proc. of 8th Eurographics Workshop on Visualization in Scientific Computing, pp.45–55, 1997.
    [10] J. Kerber, “Digital art of bas-relief sculpting,” Master’s thesis, Univeristy of Saarland, Saarbrücken, Germany, 2007.
    [11] J. Kerber, A. Belyaev, and H. P. Seidel, “Feature preserving depth compression of range images,” in Proceedings of the 23rd Spring Conference on Computer Graphics, M. Sbert (ed), Budmerice, Slovakia: Comenius University, Slovakia, pp. 110–114, April 2007.
    [12] J. Kerber, A. Tevs, A. Belyaev, R. Zayer, and H. P. Seidel, “Feature sensitive bas relief generation,” IEEE International Conference on Shape Modeling and Applications, pp. 148-154, 2009.
    [13] D. Kim, M. Son, Y. Lee, H. Kang, S. Lee, “Feature-guided image stippling,” Proceedings of the Nineteenth Eurographics Conference on Rendering, 2008.
    [14] S. Paris, S. W. Hasinoff, and J. Kautz, “Local laplacian filters: edge-aware image processing with a laplacian pyramid,” ACM Transactions on Graphics (SIGGRAPH 2011), vol. 30, no. 4, art. 68, 2011.
    [15] S. M. Pizer, E. P. Amburn, J. D. Austin, R. Cromartie, A. Geselowitz, T. Greer, B. T. H. Romeny, and J. B. Zimmerman, “Adaptive histogram equalization and its variations,” Computer Vision, Graphics, and Image Processing, vol. 39, no. 3, pp. 355–368, 1986.
    [16] W. Song, A. Belyaev, and H.-P. Seidel, “Automatic generation of bas-reliefs from 3d shapes,” in Proceedings IEEE International Conference on Shape Modeling and Applications. Washington, DC, USA: IEEE Computer Society, pp. 211–214, 2007.
    [17] X. Sun, P. L. Rosin, R. R. Martin, and F. C. Langbein, “Bas-relief generation using adaptive histogram equalization,” IEEE Transactions on Visualization and Computer Graphics, vol. 15, pp. 642-653, 2009.
    [18] X. Sun, P. L. Rosin, R. R. Martin, and F. C. Langbein, “Fast and effective feature-preserving mesh denoising,” IEEE Transactions on Visualization and Computer Graphics, vol. 13, pp. 925-938, 2007.
    [19] M. Wang, J. Kerber, J. Chang, and J. J. Zhang, “Relief stylization from 3D models using featured lines,” Proceedings of the 27th Spring Conference on Computer Graphics, pp. 63-68, 2011.
    [20] Z. Wang, A. C. Bovik, H. R.Sheikh, and E. P. Simoncelli, “Image quality assessment: from error visibility to structural similarity,“ IEEE Transactions on Image Processing 13, 4, 600–612, 2004.
    [21] T. Weyrich, J. Deng, C. Barnes, S. Rusinkiewicz, and A. Finkelstein, “Digital bas-relief from 3D scenes,” ACM Transactions on Graphics (SIGGRAPH 2007), vol. 26, no. 3, art. 32, 2007.
    描述: 碩士
    國立政治大學
    資訊科學學系
    99753002
    101
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0099753002
    数据类型: thesis
    显示于类别:[資訊科學系] 學位論文

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