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Space-Time Invariants for Recognizing 3D Motions from Arbitrary Viewpoints under Perspective Projection

机译:透视投影下从任意角度识别3D运动的时空不变性

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摘要

Extracting visual motion is very important for understanding dynamic actions and for extracting dynamic events from video sequences. Recently, it was shown that some invariants on motions can be extracted from sequential images and applied for recognizing motions from images viewed from arbitrary viewpoints. Unfortunately, these space-time invariants were limited for planar motions viewed from affine cameras. In this paper, we propose a method for computing space-time invariants on non-planar motions viewed from two perspective cameras. The extracted invariants are applied for distinguishing 3D motions from video sequences viewed from arbitrary viewpoints.
机译:提取视觉运动对于理解动态动作和从视频序列中提取动态事件非常重要。最近,已经表明,可以从顺序图像中提取出一些运动不变性,并将其应用于从任意视点观看的图像中识别运动。不幸的是,这些时空不变性仅限于从仿射相机观察到的平面运动。在本文中,我们提出了一种用于计算从两个透视相机观察到的非平面运动的时空不变性的方法。所提取的不变式用于从任意视点观看的视频序列中区分3D运动。

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