The Gradient and the Hessian of the Distance between Point and Triangle in 3D

被引:2
|
作者
Gribanov, Igor [1 ]
Taylor, Rocky [1 ]
Sarracino, Robert [1 ]
机构
[1] Mem Univ Newfoundland, Fac Engn & Appl Sci, 40 Arctic Ave, St John, NF A1B 3X7, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
point-triangle distance; gradient; Hessian;
D O I
10.3390/a11070104
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Computation of the distance between point and triangle in 3D is a common task in numerical analysis. The input values of the algorithm are coordinates of three points of the triangle and one point from which the distance is determined. An existing algorithm is extended to compute the gradient and the Hessian of that distance with respect to coordinates of involved points. Derivation of exact expressions for gradient and Hessian is presented, and numerical accuracy is evaluated for various cases. The algorithm has O(1) time and space complexity. The included open-source code may be used in applications where derivatives of point-triangle distance are required.
引用
收藏
页数:9
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