Title :
Direct Orthogonal Distance to Quadratic Surfaces in 3D
Author_Institution :
MITRE Corp., McLean, VA, USA
Abstract :
Discovering the orthogonal distance to a quadratic surface is a classic geometric task in vision, modeling, and robotics. I describe a simple, efficient, and stable direct solution for the orthogonal distance (foot-point) to an arbitrary quadratic surface from a general finite 3D point. The problem is expressed as the intersection of three quadratic surfaces, two of which are derived from the requirement of orthogonality of two non-coincident planes with the tangent plane to the quadric. A sixth order single-variable polynomial is directly generated in one coordinate of the surface point. The method detects intersection points at infinity and operates smoothly across all real quadratic surface classes. The method also geometrically detects continuums of orthogonal points (i.e., from the exact center of a sphere). I discuss algorithm performance, compare it to a state-of-the-art estimator, demonstrate the algorithm on synthetic data, and describe extension to arbitrary dimension.
Keywords :
computational geometry; arbitrary dimension; arbitrary quadratic surface; direct orthogonal distance; general finite 3D point; geometric task; intersection point detection; noncoincident plane orthogonality; orthogonal point continuum detection; quadratic surface classes; quadratic surface intersection; quadric plane; sixth-order single-variable polynomial; sphere center; surface point coordinate; synthetic data; tangent plane; Approximation algorithms; Approximation methods; Convergence; Polynomials; Three-dimensional displays; Transforms; Orthogonal distance regression; direct methods; foot-point; projective geometry; quadratic surface;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.2014.2302451