基于和谐理论网络的导航任务和机器人场景分析

Tatiana Tambouratzis
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引用次数: 0

摘要

本章描述了一种新型场景分析系统的并行实现。实现基于Harmony Theory网络,因为Harmony Theory已被证明在需要约束传播的任务中非常胜任。网络(a)接收所查看图像的阈值投影(绘制线条)作为其输入,(b)利用l标记方案的新系统(预编译信息)构建其上层,(c)输出有关绘制线条中所有线条的c特征的决定(网络定位的结果);这些决定构成了所观看场景的三维描述。透明和经济的竞争目标在建设中是这个网络的焦点。从而保证了实现的准确性和快速性,以适应实际应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scene Analysis For Navigation Tasks And Robotics Using A Harmony Theory Network
This chapter describes a parallel implementation of a novel scene analysis system. The implementation is based on a Harmony Theory network, since Harmony Theory has been proved to be very competent at tasks requiring constraint propagation. The network (a) receives a thresholded projection of the viewed image (line-drawing) as its input, (b) utilises a novel system of l abelling schemes (precompiled information) for the construction of its upper layer and (c) outputs the decisions concerning the c haracterisation s of all the lines in the line-drawing (result of the network-settling ); these decisions constitute the 3-D description of the viewed scene. The rival objectives of transparency and economy in the construction are the focal points of this network. It is thus ensured that the implementation settles accurately and fast, in order to be appropriate for real applications.
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