虚拟现实技术研究组

研究组简介


中国科学院计算技术研究所虚拟现实技术研究组主要在虚拟现实、多模式人机接口和人工智能等方向开展基础与前瞻技术研究,目前研究重点集中于“群体行为与运动仿真”、“数据驱动的流体建模和大数据可视化”、“虚拟展示与交互”等。

研究组科研人员有研究员1名、副研究员3名、助理研究员1名。先后获得重点研发计划、自然科学基金、国家863、973、国家科技攻关计划等项目资助。曾获国家科技进步二等奖,北京市科技进步奖一等奖、二等奖,世博科技先进个人奖、先进集体奖,科技奥运先进个人奖、先进集体奖,其他部级科技进步三等奖等。

研究组在在国内外重要学术期刊和会议上发表论文百余篇,获国家发明专利50余项,软件著作权登记20余项。

研究组于2007年元月被中关村管委会认定为“中关村开放实验室”,主要对企业界提供核心技术服务。

研究方向介绍


群体行为与运动仿真:

以现实场景中群体运动实例为依据,利用机器学习、数据驱动等技术,研究群体运动与行为建模技术及其仿真计算方法,在计算机生成空间中逼真再现现实场景中运动的人群、车流等群体现象。

研究内容包括:群体情绪计算模型、人群行为决策模型、高密度人群动力学建模、大规模群体运动快速计算方法、交通路口人车避障模型、车辆换道模型、大范围交通的数据驱动建模等等。

研究成果广泛应用于公共安全、应急管理、虚拟演练等领域。曾模拟2010上海世博园区百万规模客流,辅助解决应急预案评估、高峰客流管理等实际问题。应用于秦山、福清等核电厂,模拟百平方公里范围的人员撤离转移,辅助核电周边人员撤离能力评估与应急预案设计。此外,还曾服务于奥运会鸟巢体育馆、北京地铁、北京西站、东盟博览会等典型人群密集场所的安全问题研究。
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融合多源数据的三维建模与可视化:

以多源异构数据为基础,有效融合多源异构数据与物理模型,提取数据的视觉特性,分析并发现数据里面的特征、变化规律,从而实现三维对象的真实感建模与仿真。

研究内容包括:多源数据采集、多源数据融合与知识发现、数据与物理融合的混合建模、三维模型的多尺度表示、真实感绘制和大数据建模与可视化。

研究成果广泛应用于游戏、影视特别、娱乐体验和三维展示。

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虚拟展示与交互:

以视频、图像处理、三维重建和机器学习技术对真实场景进行分析、复原和三维展示,将真实场景以自由视点和混合现实的形式交互呈现在终端设备。

研究内容包括:三维计算机视觉、虚拟视点合成、视频除抖、光照反射率分析、沉浸式视频处理等。 实验室目前已经研发多种多视点采集系统,并应用于在线三维展示。