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Direct recovery of motion and shape in the general case by fixation

机译:一般情况下通过固定可直接恢复运动和形状

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摘要

A direct method called fixation is introduced for solving the general motion vision problem: arbitrary motion relative to an arbitrary environment. This method results in a linear constraint equation that explicitly expresses the rotational velocity in terms of the translational velocity. The combination of this constraint equation with the brightness-change constraint equation solves the general motion vision problem. Avoiding correspondence and optical flow has been the motivation behind this direct method, which uses the image brightness information such as temporal and spatial brightness gradients directly. In contrast with previous direct methods, the fixation method does not put any severe restrictions on the motion or the environment. Moreover, the fixation method neither requires tracked images as its input nor uses tracking for obtaining fixated images. Instead, it introduces a pixel shifting process to construct fixated images for any arbitrary fixation point. This is done entirely in software without any use of camera motion for tracking.
机译:引入了一种称为注视的直接方法来解决一般的运动视觉问题:相对于任意环境的任意运动。该方法导致线性约束方程式,该方程式以平移速度明确表示旋转速度。该约束方程与亮度变化约束方程的组合解决了一般的运动视觉问题。避免对应和光流一直是这种直接方法背后的动机,这种直接方法直接使用图像亮度信息,例如时间和空间亮度梯度。与以前的直接方法相比,固定方法对运动或环境没有任何严格的限制。此外,该固视方法既不需要跟踪图像作为其输入,也不需要使用跟踪来获得固视图像。取而代之的是,它引入了像素移动过程来为任何任意的固定点构造固定图像。这完全是通过软件完成的,无需使用摄像机的运动进行跟踪。

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