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Automatic Speed Graph Generation for Predefined Camera Paths

机译:自动为预定义的相机路径生成速度图

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Predefined camera paths are a valuable tool for the exploration of complex virtual environments. The speed at which the virtual camera travels along different path segments is key for allowing users to perceive and understand the scene while maintaining their attention. Current tools for speed adjustment of camera motion along predefined paths, such as keyframing, interpolation types and speed curve editors provide the animators with a great deal of flexibility but offer little support for the animator to decide which speed is better for each point along the path. In this paper we address the problem of computing a suitable speed curve for a predefined camera path through an arbitrary scene. We strive at adapting speed along the path to provide non-fatiguing, informative, interestingness and concise animations. Key elements of our approach include a new metric based on optical flow for quantifying the amount of change between two consecutive frames, the use of perceptual metrics to disregard optical flow in areas with low image saliency, and the incorporation of habituation metrics to keep the user attention. We also present the results of a preliminary user-study comparing user response with alternative approaches for computing speed curves.
机译:预定义的摄像机路径是探索复杂虚拟环境的宝贵工具。虚拟相机沿着不同路径段行进的速度是允许用户在保持注意力的同时感知和理解场景的关键。当前用于沿预定义路径调整摄像机运动速度的工具,例如关键帧,插值类型和速度曲线编辑器,为动画制作者提供了很大的灵活性,但对动画制作者确定路径上每个点哪个速度更好的支持很少。在本文中,我们解决了为通过任意场景的预定义摄像机路径计算合适的速度曲线的问题。我们努力沿路径调整速度,以提供无疲劳,信息丰富,有趣且简洁的动画。我们方法的关键要素包括基于光流的新度量标准,用于量化两个连续帧之间的变化量;使用感知度量来忽略图像显着性较低的区域中的光流;以及结合习惯度量以保持用户注意。我们还介绍了初步用户研究的结果,该研究将用户响应与计算速度曲线的替代方法进行了比较。

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