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

Y. Miyanaga, K. Motoyoshi, K. Tochinai
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Abstract

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.
基于受限神经网络的三维目标识别性能评价
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。
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