3D object classification using multi-object Kohonen networks

被引：9

作者：

Corridoni, JM ^{[1
]}

DelBimbo, A ^{[1
]}

Landi, L ^{[1
]}

机构：

[1] UNIV FLORENCE,FAC INGN,DIPARTIMENTO SISTEMI & INFORMAT,I-50139 FLORENCE,ITALY

来源：

PATTERN RECOGNITION | 1996年 / 29卷 / 06期

关键词：

three-dimensional planar-faced objects; recognition; single perspective view; Kohonen networks; multi-object system;

D O I：

10.1016/0031-3203(95)00132-8

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The problem of three-dimensional planar-faced opaque object recognition from one single perspective view, is addressed in this paper. A view parameterization, based on Hough Transform, is described. Classification is accomplished by multiple multi-object Kohonen networks. A new object grouping criterion has been investigated to assign disjoint subsets of objects to each Kohonen network of the system, on the basis of input space topology. Recognition tests are presented on both synthetic and real-world 3D objects, even in the presence of partial occlusion. (C) 1996 Pattern Recognition Society. Published by Elsevier Science Ltd.

引用

页码：919 / 935

页数：17

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