摘要
提出了一种基于几何模型的复杂三维场景语义环境模型生成方法。主要研究复杂三维场景几何模型可行面采样点的语义信息抽取方法,基于采样点生成场景高度图。根据三维场景中障碍物几何模型的位置关系,设计了"类括号匹配算法",确定场景高度图中哪些是可行路径点。在此基础上,构造了复杂三维场景的语义路径图,实现了复杂虚拟场景中障碍物语义的抽取及运动语义的匹配。初始场景高度图、确定路径点后的场景高度图及场景语义路径图构成了复杂三维场景的语义环境模型,模型构建过程中充分考虑了虚拟角色的个性化特点(如身高、步长和运动行为偏好等)。该模型增强了虚拟角色感知环境的能力,能够自动识别运动路径上的各种障碍物语义,实现了场景中虚拟角色运动匹配的自动化和运动行为的多样性。
The semantic environmental model of the complex 3D scene based on the geometric model of the scene was presented.The extraction method for semantic information of the sampling points forming the height map in the geometric model of the complex3D scene was proposed.By relations of the obstacles,a bracket-matching-like algorithm and ascertained the path points was designed on which characters could stand and modify the height map.Furthermore,semantic navigation graph of the complex 3D scene was formed,which achieved the extraction of the obstacle semantics and matching of the motion semantics.Height map,modified height map and semantic navigation graph made up of the semantic environmental model of the complex virtual scene,which made full thinking of height,stride and behavior preference of the characters.The model enhances the ability of perceiving the environmental information and distinguishing obstacles automatically for virtual character,realizing automatization of motion matching and variety of behaviors.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2013年第6期1196-1201,共6页
Journal of System Simulation
基金
黑龙江省教育厅科学技术研究项目(12511011)
黑龙江省高等教育科学研究"十二五"规划课题(HGJXH B1110131)
关键词
复杂三维场景
语义环境模型
几何模型
环境信息
complex 3D scene
semantic environmental model
geometric model
environmental information