首页> 外文会议>ACM international conference on Multimedia >Virtual 3D camera composition from frame constraints
【24h】

Virtual 3D camera composition from frame constraints

机译:基于帧约束的虚拟3D摄像机合成

获取原文

摘要

We have designed a graphical interface that enables 3D visual artists or developers of interactive 3D virtual environments to efficiently define sophisticated camera compositions by creating storyboard frames, indicating how a desired shot should appear. These storyboard frames are then automatically encoded into an extensive set of virtual camera constraints that capture the key visual composition elements of the storyboard frame. Visual composition elements include the size and position of a subject in a camera shot. A recursive heuristic constraint solver then searches the space of a given 3D virtual environment to determine camera parameter values which produce a shot closely matching the one in the given storyboard frame. The search method uses given ranges of allowable parameter values expressed by each constraint to reduce the size of the 7 Degree of Freedom search space of possible camera positions, aim direction vectors, and field of view angles. In contrast, some existing methods of automatically positioning cameras in 3D virtual environments rely on pre-defined camera placements that cannot account for unanticipated configurations and movement of objects or use program-like scripts to define constraint-based camera shots. For example, it is more intuitive to directly manipulate an object's size in the frame rather than editing a constraint script to specify that the object should cover 10% of the frame's area.

机译:

我们设计了图形界面,使3D视觉艺术家或交互式3D虚拟环境的开发人员可以通过创建情节提要框架来有效定义复杂的相机构图,从而指示所需的镜头应如何出现。然后,将这些情节提要框架自动编码为一组广泛的虚拟摄影机约束,以捕获情节提要框架的关键视觉构图元素。视觉构图元素包括相机镜头中对象的大小和位置。然后,递归启发式约束求解器将搜索给定3D虚拟环境的空间,以确定相机参数值,这些参数会产生与给定情节提要板帧中的镜头非常匹配的镜头。搜索方法使用给定范围的每个约束条件表示的允许参数值,以减小可能的摄像机位置,目标方向矢量和视角范围的7自由度搜索空间的大小。相反,在3D虚拟环境中自动定位相机的某些现有方法依赖于预定义的相机放置,这些位置无法说明意外的配置和对象移动,也无法使用类似程序的脚本来定义基于约束的相机拍摄。例如,直接编辑框架中对象的大小比编辑约束脚本来指定该对象应覆盖框架区域的10%更为直观。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号