计算机工程与应用2017，Vol.53Issue(11)：13-17,60,6.DOI:10.3778/j.issn.1002-8331.1701-0002
一种具有RST不变性的2D/3D轨迹相似性度量
RST-invariant similarity measure for 2D/3D trajectories
摘要
Abstract
The trajectory similarity measure that is invariant to Rotation, Scaling and Translation(RST)operations is cru-cial to applications such as precise sign language recognition, similar trajectory index etc. However, traditional similarity measures do not meet this requirements, especially the rotation invariant. This paper proposes an RST invariant measure. This method begins by filtering, normalizing and resampling the trajectory, which is followed by an optimal estimation of rotation matrix between any two trajectories. After that, the interference of uncertain rotation is reliably removed. The pro-posed method has time complexity of O ( N ) and applies to both 2D and 3D trajectories. Compared with invariants like curvature and torsion, this method is quite insensitive to noises.关键词
轨迹数据/距离度量/旋转、缩放、平移(RST)不变性/最优旋转矩阵Key words
trajectory data/distance measure/Rotation/Scaling and Translation(RST)invariant/optimal rotation matrix分类
信息技术与安全科学引用本文复制引用
曹卫权..一种具有RST不变性的2D/3D轨迹相似性度量[J].计算机工程与应用,2017,53(11):13-17,60,6.基金项目
国家自然科学基金(No.U1536105). （No.U1536105）
