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自适应偶数曲面细化
引用本文:郭栋梁,聂俊岚,王艳芬.自适应偶数曲面细化[J].北京理工大学学报,2015,35(3):284-289.
作者姓名:郭栋梁  聂俊岚  王艳芬
作者单位:燕山大学信息科学与工程学院,河北,秦皇岛 066004;燕山大学河北省计算机虚拟技术与系统集成重点实验室,河北,秦皇岛066004;燕山大学信息科学与工程学院,河北,秦皇岛 066004
基金项目:国家自然科学基金资助项目(60970073);国家"八六三"计划项目;河北省科技支撑计划项目(14203110);秦皇岛市科技计划项目(201401A021)
摘    要:针对二分半规则曲面细化自适应性不足的缺陷,提出一种新的自适应偶数曲面细化方法,通过在顶点着色器中设计新的顶点调控函数控制顶点偏移,解决边界裂缝问题;并采用参数区域划分子区域的方法,解决函数坐标轴方向不一致引起的浮点误差问题,将细化因子集合从2n扩展到2n形式;利用偶数细化层次递增关系,优化参数几何数据布局,达到层次间顶点和索引双重用. 实验分析表明,在同等细化测度下,本文方法细化因子更接近于细化测度,曲面细化过渡更匀称,绘制面片规模由幂指数级降到线性级,绘制性能提高在20%以上,是一种可行有效的硬件网格细化模式扩展. 

关 键 词:网格细化  偶数细化  自适应  顶点调控函数
收稿时间:2013/6/13 0:00:00

Adaptive Even Patch Tessellation
GUO Dong-liang,NIE Jun-lan and WANG Yan-fen.Adaptive Even Patch Tessellation[J].Journal of Beijing Institute of Technology(Natural Science Edition),2015,35(3):284-289.
Authors:GUO Dong-liang  NIE Jun-lan and WANG Yan-fen
Institution:1.Information Science and Engineering College, Yanshan University, Qinhuangdao, Hebei 066004, China;The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province, Qinhuangdao, Hebei 066004, China2.Information Science and Engineering College, Yanshan University, Qinhuangdao, Hebei 066004, China
Abstract:The tessellation levels limit of semi-uniform adaptive patch tessellation is 2n. It is less adaptive. Even patch tessellation was proposed using vertex fitting function to increase tessellation levels limit from 2n to 2n. Vertex moving was controlled by controlling function on vertex shader to eliminate the boundary cracks. In addition, parameter region was divided to avoid floating point precision issue caused by direction inconsistency of function coordinate axes. Then, parametric mesh layouts were optimized, and both vertex and index can be reused between different tessellation levels. The results show that even tessellation is more adaptive than dyadic tessellation under the same tessellation metric. The number of polygons rendered reduced to about 60% of that in dyadic tessellation, and rendering frames per second is increased by more than 20%. Our method expands existing hardware tessellation pattern.
Keywords:tessellation  even patch tessellation  adaptive  vertex controlling function
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