单视距图像中旋转固体的体积形状

Yokoya N., Levine M.D.
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引用次数: 15

摘要

许多人造物体,如工业零件,部分由旋转表面和平面构成。我们研究了在距离数据中寻找和恢复旋转固体的问题,这对三维物体的建模和识别有潜在的帮助。我们提出了一种解决这一问题的方法,该方法是基于一个公转曲面的两个焦点面中至少有一个退化为旋转轴的事实。首先,通过计算曲面法曲率和主曲率,得到构成焦面的主曲率中心;然后,利用霍夫变换,通过寻找位于空间直线上的主曲率中心来检测旋转轴。最后,通过估算沿各旋转轴的截面半径函数,完全确定了旋转体。所提出的方法甚至可以在遮挡或截断是一个问题的情况下使用,因为它不需要整个表面的可见性。用激光测距仪获得的实际测距数据成功地进行了实验。
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Volumetric Shapes of Solids of Revolution from a Single-View Range Image

Many man-made objects such as industrial parts are partially constructed of surfaces of revolution, as well as planar surfaces. We have studied the problem of finding and recovering solids of revolution in range data which are potentially useful for modeling and recognizing 3D objects. We propose an approach to the problem which is based on the fact that at least one of two focal surfaces for a surface of revolution degenerates into the axis of rotation. First, by computing the surface normal and principal curvatures, the centers of principal curvature which construct the focal surfaces are obtained for each point in the range image. Then, using the Hough transform, the axes of rotation are detected by finding the centers of principal curvature which lie on straight lines in space. Finally, the solid of revolution is completely determined by estimating the radius function of cross-section along each rotational axis. The proposed method can be used even in situations where occlusion or truncation is a problem because it does not require the visibility of entire surfaces. Experiments have been successfully carried out with real range data obtained from laser rangefinders.

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