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首页> 外文会议>Conference on Machine Vision Applications in Industrial Inspection Ⅹ Jan 21-22, 2002, San Jose, USA >Characterization of 3D dynamic textures with estimation of their movements
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Characterization of 3D dynamic textures with estimation of their movements

机译：通过估计其运动来表征3D动态纹理

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摘要

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：当要识别运动中的对象或对象的一部分（例如在3D纹理环境中移动的纹理表面）时，人类视觉系统似乎非常强大。在这种情况下，观察者的视觉印象取决于许多因素，包括场景和观察者之间相对运动的性质，照明的种类以及所研究平面的表面状况。在本文中，我们提出了一种表征在3D场景中移动的纹理表面的方法。各种分析后的图像都具有强烈的纹理，并且不一定包含周期性的基本图案。在弱透视投影的假设下，使用与具有系统场景相机的光学模型相关联的自相关函数。我们使用这样一个事实，即图像及其仿射变换版本的自相关函数与此变换相关。通过欧拉角研究了纹理平面的3D旋转。在一组1008张合成图像上，以大约9度的标准偏差来表征获得的旋转角度精度。在一个小的真实图像数据库上，它达到4.1度。

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