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Issues in adapting research algorithms to stereoscopic visual effects

机译:使研究算法适应立体视觉效果的问题

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Many published machine vision algorithms are designed to be real-time and fully automatic with low computational complexity. These attributes are essential for applications such as stereo robotic vision. Motion Picture Digital Visual Effect facilities, however, have massive computation resources available and can afford human interaction to initialise algorithms and to guide them towards a good solution. On the other hand, motion pictures have significantly higher accuracy requirements and other unique challenges. Not all machine vision algorithms can readily be adapted to this environment. In this paper we outline the requirements of visual effects and indicate several challenges involved in using image processing and machine vision algorithms for stereo motion picture visual effects.
机译:许多已发布的机器视觉算法被设计为实时,全自动且计算复杂度低。这些属性对于诸如立体机器人视觉之类的应用至关重要。然而,电影数字视觉效果设施拥有大量可用的计算资源,并且可以提供人机交互来初始化算法并指导他们寻求一个好的解决方案。另一方面,电影具有更高的准确性要求和其他独特的挑战。并非所有的机器视觉算法都可以很容易地适应这种环境。在本文中,我们概述了视觉效果的要求,并指出了将图像处理和机器视觉算法用于立体电影视觉效果所涉及的几个挑战。

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