We study the problem of polygonal curve simplification under uncertainty, where instead of a sequence of exact points, each uncertain point is represented by a region, which contains the (unknown) true location of the vertex. The regions we consider are disks, line segments, convex polygons, and discrete sets of points. We are interested in finding the shortest subsequence of uncertain points such that no matter what the true location of each uncertain point is, the resulting polygonal curve is a valid simplification of the original polygonal curve under the Hausdorff or the Fr\'echet distance. For both these distance measures, we present polynomial-time algorithms for this problem.
翻译:我们研究在不确定情况下多边形曲线简化问题,在这种不确定点中,每个不确定点由区域代表,区域包含(未知的)顶点的真实位置。我们所考虑的区域是磁盘、线段、锥形多边形和离散的一组点。我们有兴趣找到不确定点的最短次序列,以便无论每个不确定点的真实位置为何,由此产生的多边形曲线都是对Hausdorff或Fr\'echet距离下的原始多边形曲线的有效简化。对于这两种距离测量,我们对此问题采用多米时算法。