基于知识的理解道路地图和其他线路图像

M. Ilg
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引用次数: 21

摘要

研究表明,通过有效地利用人工智能方法,对一般文档,特别是线条图的理解可以被视为朝着理解任意场景迈出的第一步。起点是一组域无关的线性图像原语,这些原语定义了一个线形图。在去除伪影之后,在越来越多的领域特定知识的帮助下,对有意义的复杂结构的识别分几个步骤完成。进一步的场景知识控制各种操作员的部署,以在整个场景中达到一致的解释。面向对象编程范式的选择被证明是非常有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Knowledge-based understanding of road maps and other line images
It is shown that the understanding of documents in general and of line drawings in particular can be seen as a first step towards the the understanding of arbitrary scenes by making effective use of methods from artificial intelligence. The starting point is a set of domain-independent linear image primitives which define a line graph. After the removal of artifacts the recognition of meaningful complex structures is accomplished in several steps with the aid of a growing amount of domain-specific knowledge. Further scene knowledge controls the deployment of the various operators to arrive at a consistent interpretation throughout the scene. The selection of the object-oriented programming paradigm proved to be very effective.<>
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