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Characterization of 3D dynamic textures with estimation of their movements

机译:估计其运动的3D动态纹理的特征

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The human visual system seems very powerful when it is a question to identifying an object or a portion of an object in movement, such as a textured surface moving in a 3D textured environment. In such a situation, the visual impression of an observer depends on many factors, including the nature of relative movement between the scene and the observer, the kind of lighting and the surface aspect of the plane being studied. In this paper, we propose a method of characterization of textured surfaces moving in a 3D scene. The various analyzed images are strongly textured, and do not necessarily include periodic elementary patterns. The autocorrelation function associated with an optical model with the system scene-camera under the hypothesis of a weak perspective projection is used. We use the fact that the autocorrelation function of an image and of its affine transformed version are related by this transformation. 3D-rotations of the textured plane are studied by means of Euler's angles. On a set of 1008 synthetic images, the accuracy obtained for the angles of rotation is characterized by a standard deviation of about 9 degrees. It attains 4.1 degrees on a small database of real images.
机译:当识别运动中的物体或物体的一部分时,人类视觉系统似乎非常强大,例如在3D纹理环境中移动的纹理化表面。在这种情况下,观察者的视觉印象取决于许多因素,包括场景与观察者之间的相对运动的性质,所研究的平面的照明和表面方面。在本文中,我们提出了一种在3D场景中移动的纹理表面的表征方法。各种分析的图像被强烈纹理,并且不一定包括周期性的基本模式。使用在弱透视投影的假设下与系统场景相机的与光学模型相关联的自相关函数。我们使用了图像和其仿射变换版的自相关函数的变换与此转换相关。通过欧拉角来研究纹理平面的3D旋转。在一组1008个合成图像上,为旋转角度获得的精度的特征在于约9度的标准偏差。它在一个真实图像的小数据库上获得4.1度。

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