Geometric modeling using octree encoding

Donald Meagher
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引用次数: 1267

Abstract

A geometric modeling technique called Octree Encoding is presented. Arbitrary 3-D objects can be represented to any specified resolution in a hierarchical 8-ary tree structure or “octree” Objects may be concave or convex, have holes (including interior holes), consist of disjoint parts, and possess sculptured (i.e., “free-form”) surfaces. The memory required for representation and manipulation is on the order of the surface area of the object. A complexity metric is proposed based on the number of nodes in an object's tree representation. Efficient (linear time) algorithms have been developed for the Boolean operations (union, intersection and difference), geometric operations (translation, scaling and rotation), N-dimensional interference detection, and display from any point in space with hidden surfaces removed. The algorithms require neither floating-point operations, integer multiplications, nor integer divisions. In addition, many independent sets of very simple calculations are typically generated, allowing implementation over many inexpensive high-bandwidth processors operating in parallel. Real time analysis and manipulation of highly complex situations thus becomes possible.

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几何建模使用八叉树编码
提出了一种称为八叉树编码的几何建模技术。任意3-D对象可以表示为任何指定的分辨率在一个分层的8-ary树结构或“八叉树”对象可以是凹的或凸的,有孔(包括内部孔),由不相交的部分组成,并具有雕刻(即,“自由形式”)表面。表示和操作所需的内存是按物体表面积的顺序排列的。提出了一种基于对象树表示中节点数量的复杂度度量。高效的(线性时间)算法已经被开发用于布尔运算(并、交和差)、几何运算(平移、缩放和旋转)、n维干扰检测,以及从空间的任何一点显示隐藏表面被删除。这些算法既不需要浮点运算、整数乘法,也不需要整数除法。此外,通常会生成许多非常简单的独立计算集,从而允许在并行操作的许多廉价的高带宽处理器上实现。因此,对高度复杂情况的实时分析和操作成为可能。
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