Efficient skeleton-guided displaced subdivision surfaces
Efficient skeleton-guided displaced subdivision surfaces
复制标题
高效的骨架引导位移细分曲面
DOI：
10.1007/s11042-017-4439-x
复制
发表时间：
2018-03
影响因子：
3.6
通讯作者：
Feng Jieqing
中科院分区：
文献类型：
--
作者：
Huang Yuncen;Feng Jieqing
置换贴图是一种计算机图形技术，它使用基础表面上沿法线的标量偏移来表示和渲染具有高度几何细节的模型。该技术本身可压缩模型并节省内存输入/输出。一种细分……
Displacement mapping is a computer graphics technique that uses scalar offsets along normals on a base surface to represent and render a model with highly geometric details. The technique natively compresses the model and saves memory I/O. A subdivision surface is the ideal base surface, due to its good geometric properties, such as arbitrary topology, global smoothness, and multi-resolution via hardware tessellation, among others. Two of the main challenges in displacement mapping representation are constructing the base surface faithfully and generating displacement maps efficiently. In this paper, we propose an efficient skeleton-guided displaced subdivision surfaces method. The construction of the base mesh is guided by a sketched skeleton. To make the shape of the base surface fit the input model well, we develop an efficient progressive GPU-based subdivision fitting method. Finally, a GPU-based raycasting method is proposed to sample the input model and generate the displacement maps. The experimental results demonstrate that the proposed method can efficiently generate a high-quality displacement mapping representation. Compared with the traditional displaced subdivision surface method, the proposed method is more suitable for the modern rendering pipeline and has higher efficiency.
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DOI：
10.1145/3596711.3596728
发表时间：
2023-08
期刊：
Seminal Graphics Papers: Pushing the Boundaries, Volume 2
影响因子：
--
作者：
J. Stam
通讯作者：
J. Stam
影响因子：
2.5
作者：
Zhongxian Chen;Xiaonan Luo;Le Tan;Binghong Ye;Jiapeng Chen
通讯作者：
Zhongxian Chen;Xiaonan Luo;Le Tan;Binghong Ye;Jiapeng Chen
DOI：
--
发表时间：
2001
期刊：
--
影响因子：
--
作者：
T. Kaneko;T. Takahei;M. Inami;N. Kawakami;Y. Yanagida;T. Maeda;S. Tachi
通讯作者：
T. Kaneko;T. Takahei;M. Inami;N. Kawakami;Y. Yanagida;T. Maeda;S. Tachi
DOI：
10.1145/1330511.1330519
发表时间：
2008-03
期刊：
ACM Trans. Graph.
影响因子：
--
作者：
Charles T. Loop;S. Schaefer
通讯作者：
Charles T. Loop;S. Schaefer
影响因子：
2.5
作者：
M. Nießner;B. Keinert;Matthew Fisher;M. Stamminger;Charles T. Loop;Henry Schäfer
通讯作者：
M. Nießner;B. Keinert;Matthew Fisher;M. Stamminger;Charles T. Loop;Henry Schäfer