To improve motion graph based motion synthesis,semantic control was introduced.Hybrid motion features including both numerical and user-defined semantic relational features were extracted to encode the characteristic ...To improve motion graph based motion synthesis,semantic control was introduced.Hybrid motion features including both numerical and user-defined semantic relational features were extracted to encode the characteristic aspects contained in the character's poses of the given motion sequences.Motion templates were then automatically derived from the training motions for capturing the spatio-temporal characteristics of an entire given class of semantically related motions.The data streams of motion documents were automatically annotated with semantic motion class labels by matching their respective motion class templates.Finally,the semantic control was introduced into motion graph based human motion synthesis.Experiments of motion synthesis demonstrate the effectiveness of the approach which enables users higher level of semantically intuitive control and high quality in human motion synthesis from motion capture database.展开更多
虚拟环境为新一代(第四代)人机自然交互系统提供三维可视化交互环境.虚拟景物建模是创建虚拟环境的关键.本文着重研究了虚拟环境建模中的AVR(From Actual Reality to Virtual Reality,即由真实现实到虚拟现实转换)理论、算法及实现技术...虚拟环境为新一代(第四代)人机自然交互系统提供三维可视化交互环境.虚拟景物建模是创建虚拟环境的关键.本文着重研究了虚拟环境建模中的AVR(From Actual Reality to Virtual Reality,即由真实现实到虚拟现实转换)理论、算法及实现技术.在分析、理解虚拟环境建模中的AVR问题性质的基础上,采用计算机视觉和计算机图形学相融合(CV/CG)的技术路线,利用AVR重建技术,直接从视觉获取的真实世界景物几何形状数据中提取出计算机内部统一参数描述模型,并生成真实感的三维景物图像,在虚拟环境中显示,从而实现由真实世界景物形状信息到虚拟环境真实感景物的计算机建模,研究工作具有重要意义和广泛的应用前景.展开更多
基金Project(60801053) supported by the National Natural Science Foundation of ChinaProject(4082025) supported by the Beijing Natural Science Foundation,China+4 种基金Project(20070004037) supported by the Doctoral Foundation of ChinaProject(2009JBM135,2011JBM023) supported by the Fundamental Research Funds for the Central Universities of ChinaProject(151139522) supported by the Hongguoyuan Innovative Talent Program of Beijing Jiaotong University,ChinaProject(YB20081000401) supported by the Beijing Excellent Doctoral Thesis Program,ChinaProject (2006CB303105) supported by the National Basic Research Program of China
文摘To improve motion graph based motion synthesis,semantic control was introduced.Hybrid motion features including both numerical and user-defined semantic relational features were extracted to encode the characteristic aspects contained in the character's poses of the given motion sequences.Motion templates were then automatically derived from the training motions for capturing the spatio-temporal characteristics of an entire given class of semantically related motions.The data streams of motion documents were automatically annotated with semantic motion class labels by matching their respective motion class templates.Finally,the semantic control was introduced into motion graph based human motion synthesis.Experiments of motion synthesis demonstrate the effectiveness of the approach which enables users higher level of semantically intuitive control and high quality in human motion synthesis from motion capture database.
文摘虚拟环境为新一代(第四代)人机自然交互系统提供三维可视化交互环境.虚拟景物建模是创建虚拟环境的关键.本文着重研究了虚拟环境建模中的AVR(From Actual Reality to Virtual Reality,即由真实现实到虚拟现实转换)理论、算法及实现技术.在分析、理解虚拟环境建模中的AVR问题性质的基础上,采用计算机视觉和计算机图形学相融合(CV/CG)的技术路线,利用AVR重建技术,直接从视觉获取的真实世界景物几何形状数据中提取出计算机内部统一参数描述模型,并生成真实感的三维景物图像,在虚拟环境中显示,从而实现由真实世界景物形状信息到虚拟环境真实感景物的计算机建模,研究工作具有重要意义和广泛的应用前景.
