Matching Angular and Vector Descriptions of Three-Dimensional Group Point Objects
Y. A. Furman, I. L. Egoshina, R. V. Eruslanov
Volga State University of Technology
krtmbs@volgatech.net
Keywords: associated polyhedron, group point object, iterative procedure, similarity measure, scalar product, matched filtering, matching vector descriptions, wire model
Pages: 3-17
Abstract
A solution was found to the problem of recognizing a spatial three-dimensional group point object with coordinate noise, a priori uncertainty of angular parameters, and a shift of the initial vector component that defines the object. An iterative approach to matching angular parameters and vector descriptions of the recognized and reference groups of point objects is proposed.
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