SBIR Phase I: Slippability Analysis for Scan Registration and Feature Fitting

这个小企业创新研究（SBIR）第一阶段项目建议研究全局对齐3D对象的多点扫描的问题。给定两个部分重叠表面的数字化扫描数据，描述了一个数值测量，该数值测量量化了一个表面在另一个表面上滑动时遇到的阻力（锁定性与可滑性）。这一措施是迄今为止设计成功的多部分扫描对齐算法的缺失部分。这对于构建一个优先级调度，以最佳方式合并最可锁定的扫描是至关重要的。可以预期的是，对这种数值方法进行适当的微调将大大提高计算对准的速度和精度，特别是对于机械形状。这产生了定义表面的分类，可以直接从收集的点数据中检测和拟合CAD模型中的原始特征，因为这些通常是可滑动的表面元素，如平面、球体、圆柱体、锥体、旋转表面和挤压面。

This Small Business Innovation Research (SBIR) Phase I Project proposes to investigate the problem of globally aligning multiple point scans of a 3D object. Given the digitized scan data for two partially overlapping surfaces, a numerical measure is described that quantifies the resistance encountered by one sliding over the other (lockability versus slippability). This measure is a heretofore missing piece in the design of successful algorithms for aligning multiple partial scans. It is of fundamental importance in building a prioritized schedule that optimally merges the most lockable scans. It is to be expected that a proper fine-tuning of this numerical method will dramatically improve the speed and accuracy of computed alignments, particularly for mechanical shapes. This yields a classification of the defining surface which enables the detection and fitting of primitive features in CAD models directly from the collected point data since these are generally slippable surface elements such as planes, spheres, cylinders, cones, surfaces of revolution and extrusions.