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    • 2. 发明授权
    • Warping geometric objects
    • 扭曲几何对象
    • US06504541B1
    • 2003-01-07
    • US09176522
    • 1998-10-21
    • Hongche LiuShyam Kuttikkad
    • Hongche LiuShyam Kuttikkad
    • G06T1100
    • G06T17/205G06K9/00476G06T17/05G06T17/20
    • A system is disclosed for warping models made from geometric objects, such as electronic maps, to correct local distortions in the models without compromising model topology. A set of transformation functions are derived from relationships between points in a first model that match points in a second model. The transformation functions are then applied to the points in the first model to generate a new model with reduced distortion. In order to provide for reducing local distortions, warping is applied to selected corresponding regions of the first model and the second model by triangulating these regions and generating transformation functions for each corresponding pair of triangles. Topology preservation is achieved by identifying matching points in the first model and the second model that have a potential for causing topology deviations. Such matching points are then excluded from the process of developing transformation equations to be used in the warping process. Matching points with potential for causing topology deviations are identified by triangulating matching points in the selected regions of the first model and the second model and analyzing the resulting triangles.
    • 公开了一种用于对由几何对象(例如电子地图)制成的扭曲模型的系统,以校正模型中的局部失真,而不损害模型拓扑。 一组转换函数从与第二模型中的点匹配的第一模型中的点之间的关系导出。 然后将变换函数应用于第一模型中的点以生成具有减小的失真的新模型。 为了提供减少局部失真,通过对这些区域进行三角测量并为每个相应的三角形对生成变换函数,对第一模型和第二模型的选定对应区域进行翘曲。 通过识别具有引起拓扑偏差潜力的第一模型和第二模型中的匹配点来实现拓扑保存。 然后将这些匹配点从开发在翘曲过程中使用的变换方程的过程中排除。 通过对第一模型和第二模型的选定区域中的匹配点进行三角测量并分析所得到的三角形来标识具有引起拓扑偏差潜力的匹配点。
    • 3. 发明授权
    • Matching geometric objects
    • 匹配几何对象
    • US06532304B1
    • 2003-03-11
    • US09176243
    • 1998-10-21
    • Hongche LiuShyam Kuttikkad
    • Hongche LiuShyam Kuttikkad
    • G06K946
    • G06K9/6211
    • A system is disclosed for identifying matching arcs in sets of geometric objects, such as a pair of electronic maps, without relying on attributes being assigned to the arcs. An arc in a first set of geometric objects is identified as matching an arc in a second set of geometric objects, when the arc in the first set is co-bounded on both sides by polygons which match the corresponding co-bounding polygons of the arc in the second set. A determination is made of which polygons in the first set of geometric objects match polygons in the second set of geometric objects, by computing and comparing a set of similarity metrics. Examples of characteristics for which similarity metrics are determined include, proximity, area, shape and rotation. Each similarity metric is determined in an isolated fashion, so that no other metric is reflected in the metric being measured.
    • 公开了一种系统,用于识别几组对象(例如一对电子地图)中的匹配弧,而不依赖于分配给弧的属性。 第一组几何对象中的圆弧被识别为匹配第二组几何对象中的圆弧,当第一组中的圆弧在两边上由多边形共同限定,该多边形与圆弧的相应的共边界多边形匹配时 在第二集。 通过计算和比较一组相似性度量,确定第一组几何对象中的多边形与第二组几何对象中的多边形匹配。 确定相似性度量的特征的示例包括接近度,面积,形状和旋转。 以孤立的方式确定每个相似性度量,使得在所测量的度量中不反映其他度量。