A. Adan et al., Global shape invariants: a solution for 3D free-form object discrimination/identification problem, PATT RECOG, 34(7), 2001, pp. 1331-1348
A method for solving the 3D object recognition problem is described in this
paper. The method uses a new set of global features as discriminant parame
ters. The general purpose of our approach is to achieve simplicity, speed a
nd efficiency by using global invariants. For this, two new global paramete
rs are introduced, which are invariant to rotation, translation and scaling
: canonical length (CL), which provides an indirect measurement of object s
urface and weighted principal directions (WPDs) corresponding to the meanin
gful normal directions of the object surface. Abundant experimentation has
been conducted with a real world system in order to validate the method. (C
) 2001 Pattern Recognition Society. Published by Elsevier Science Ltd. All
rights reserved.