Department of Computer Science, University of Utah, Salt Lake City, UT 84112.
IEEE Trans Pattern Anal Mach Intell. 1983 Jun;5(6):609-18. doi: 10.1109/tpami.1983.4767450.
The representation of 3-D objects is an important step in solving many problems in scene analysis. One of the most successful techniques is that based on the surfaces of objects. We describe several methods for obtaining such surface representations from various types of intrinsic images. In particular, previous work is reviewed and an algorithm based on region growing is investigated in terms of its efficiency in segmenting a set of points in 3-D space into planar faces. Information on the neighborhood structure of the points in the form of a spatial proximity graph is used to direct the segmentation. Applications to industrial objects are demonstrated.
三维物体的表示是解决场景分析中许多问题的重要步骤。最成功的技术之一是基于物体表面的技术。我们描述了几种从各种类型的内在图像中获取这种表面表示的方法。特别是，回顾了以前的工作，并研究了基于区域增长的算法在将三维空间中的点集分割成平面面的效率方面的应用。以空间接近图的形式使用关于点的邻域结构的信息来指导分割。演示了对工业物体的应用。
