基于受限神经网络的三维目标识别性能评价

Proceedings of APCCAS'96 - Asia Pacific Conference on Circuits and Systems Pub Date : 1996-11-18 DOI:10.1109/APCAS.1996.569293

Y. Miyanaga, K. Motoyoshi, K. Tochinai

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摘要

本文介绍了一种三维物体识别系统的新方法。该系统基于一种受限的多层神经网络。为了对该网络的性能进行评估，给出了使用一些相似物体进行识别的实验。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Performance evaluation on 3-D object recognition using a restricted neural network

This report introduces a new approach on a recognition system of three dimensional, i.e. 3D, objects. The proposed system is based on a restricted multi-layered neural network. For the performance evaluation of this network, the experiment in which some similar objects are used for recognition is demonstrated.

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Proceedings of APCCAS'96 - Asia Pacific Conference on Circuits and Systems

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