3-D OBJECT CLASSIFICATION: APPLICATION OF A CONSTRUCTIVE ALGORITHM

Author:

Burgess Neil1,Granieri Mario Notturno2,Patarnello Stefano3

Affiliation:

1. Department of Anatomy, UCL, London WCIE 6BT, U.K.

2. IBM Rome Scientific Centre, Via Giorgione 159, 00147 Roma, Italy

3. IBM ECSEC Via Giorgione 159, 00147 Roma, Italy

Abstract

A system for the classification of real 3-D objects is presented. Ten objects are presented in arbitrary orientation (and position, within limits). The perception of an object is achieved by the use of multiple stereo pairs of images taken from different view positions. Classification of the spectrum of distances between edge-points perceived on an object is achieved using a constructive algorithm. Convergence to zero errors on the set of training examples is guaranteed. The generalization capability is tested on a set of 10–15 novel presentations of each object.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computer Networks and Communications,General Medicine

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Constructive learning techniques for designing neural network systems;Neural Network Systems Techniques and Applications;1998

2. Two Constructive Methods for Designing Compact Feedforward Networks of Threshold Units;International Journal of Neural Systems;1997-10

3. Recognition of hand-written rotated digits by neural networks;Machine Vision and Applications;1995-09

4. Comparison of Constructive Algorithms for Neural Networks;ICANN ’94;1994

5. Recognition by constructive neural algorithms;Pattern Recognition Letters;1993-12

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