Modeling motion blur in computer-generated images

M. Potmesil, I. Chakravarty
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引用次数: 180

Abstract

This paper describes a procedure for modeling motion blur in computer-generated images. Motion blur in photography or cinematography is caused by the motion of objects during the finite exposure time the camera shutter remains open to record the image on film. In computer graphics, the simulation of motion blur is useful both in animated sequences where the blurring tends to remove temporal aliasing effects and in static images where it portrays the illusion of speed or movement among the objects in the scene. The camera model developed for simulating motion blur is described in terms of a generalized image-formation equation. This equation describes the relationship between the object and corresponding image points in terms of the optical system-transfer function. The use of the optical system-transfer function simplifies the description of time-dependent variations of object motion that may occur during the exposure time of a camera. This approach allows us to characterize the motion of objects by a set of system-transfer functions which are derived from the path and velocity of objects in the scene and the exposure time of a camera.
在计算机生成的图像中建模运动模糊
本文描述了计算机生成图像中运动模糊的建模过程。在摄影或电影技术中,运动模糊是由于在有限的曝光时间内,相机快门保持打开状态以在胶片上记录图像而引起的物体运动。在计算机图形学中,运动模糊的模拟在动画序列中很有用,在动画序列中,模糊倾向于消除时间混叠效果,在静态图像中,它描绘了场景中物体之间的速度或运动幻觉。用广义图像形成方程描述了为模拟运动模糊而建立的摄像机模型。这个方程用光学系统传递函数描述了物体和相应像点之间的关系。光学系统传递函数的使用简化了在相机曝光时间内可能发生的物体运动随时间变化的描述。这种方法允许我们通过一组系统传递函数来描述物体的运动,这些传递函数是由场景中物体的路径和速度以及相机的曝光时间导出的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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