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大规模雪场景的实时绘制
  • ISSN号:1003-9775
  • 期刊名称:《计算机辅助设计与图形学学报》
  • 时间:0
  • 分类:TP391[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构:[1]浙江大学CAD8LCG国家重点实验室,杭州310027
  • 相关基金:国家“九七三”重点基础研究发展计划项目(2009CB320802);国家自然科学基金重点项目(60833007);国家自然科学基金面上项目(60970075,61272302).
中文摘要:

大规模雪场景的真实感实时绘制在虚拟现实、雪灾的预防和救援、军事仿真及游戏设计等领域有着广泛的应用价值,但现有方法难以同时生成大规模动态雪场景的积雪及飘雪效果.为此提出并实现了一种交互式大规模雪场景建模与实时绘制的新方法.为了精细地模拟场景的积雪效果,提出一种基于视点的自适应降雪遮挡图模型,能在实时更新地物的遮挡关系的同时大大减少大规模雪场景中积雪的计算量,并提高了计算精度;对于场景的飘雪,采用一种基于视点的雪粒子分层建模技术来减少雪粒子数量,将视点变换及降雪粒子系统移至GPU中进行加速计算;采用动态多旋转纹理来模拟飘落雪花的形状以增加其真实感;采用几何与纹理混合绘制的方式来减少大场景的复杂度.最终成功地实现了野外和城市两个大规模雪场景的实时漫游,在场景中可看到压雪累累的树枝雪挂景象及轿车上厚厚积雪等冬天美景.

英文摘要:

Real-time rendering of large-scale snow scenes with high realism has wide applications in the areas such as virtual reality, snowy disaster's prevention and rescue, military simulation and game design, etc. However, current methods cannot simultaneously simulate both the snow accumulation and falling effects for large-scale dynamic snow scenes. To solve this problem, we propose a new method of modeling and real-time rendering. To simulate the accumulation of snowflakes on different objects in the scene precisely, we present an adaptive occlusion map for the falling snowflakes, with respect to the object distribution within the current view frustum. The occlusion map will be updated in real-time allowing dynamic objects to be included in the scene. To simulate the huge amount of dynamically falling snow flakes, we adopt a view-dependent particles grouping technique to reduce the amount of the snowflakes, meantime move the view transform and evolution of snow particle system into GPU for acceleration. To enhance the realism of falling snowflake, we adopt a dynamic texture sequence of multi-rotary snowflake. Besides, a hybrid approach of geometry and texture is employed to render the distant view of large-scale snow scenes with less computation. Based on the above approaches, we successfully implemented the real-time walkthrough of large-scale snow scenes including both urban and suburb circumstances, and generate the beautiful winter view such as heavy snow accumulation on the tree branches and the covers of cars, etc.

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期刊信息
  • 《计算机辅助设计与图形学学报》
  • 北大核心期刊(2011版)
  • 主管单位:中国科学技术协会
  • 主办单位:中国计算机学会
  • 主编:鲍虎军
  • 地址:北京2704信箱
  • 邮编:100190
  • 邮箱:jcad@ict.ac.cn
  • 电话:010-62562491
  • 国际标准刊号:ISSN:1003-9775
  • 国内统一刊号:ISSN:11-2925/TP
  • 邮发代号:82-456
  • 获奖情况:
  • 第三届国家期刊奖提名奖
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,荷兰文摘与引文数据库,美国工程索引,英国科学文摘数据库,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版),中国北大核心期刊(2000版)
  • 被引量:24752