从3D场景中学习物体之间的空间关系

Severin Fichtl, J. W. Alexander, Frank Guerin, Wail Mustafa, D. Kraft, N. Krüger
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引用次数: 3

摘要

在这项工作中,我们学习了有限数量的抽象概念,然后可以用来形成运动动作的先决条件。这些抽象采用对象之间空间关系的形式。我们考虑空间关系的三“类”:对象要么是彼此分离的,要么是彼此之上的,要么是彼此内部的。我们在之前的工作中解决了同样的问题(Fichtl et al., 2013)。在这里,我们报告了最近使用直方图的新应用来视觉识别环境中物体之间的空间关系的改进结果。使用这种基于直方图的方法,当系统被要求识别空间关系时,我们能够报告非常高的成功率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Learning spatial relations between objects from 3D scenes
In this work, we learn a limited number of abstractions which can then be used to form preconditions for motor actions. These abstractions take the form of spatial relations amongst objects. We consider three “classes” of spatial relation: The objects either are separated from, on-top of, or inside each other. We have tackled this same problem in previous work (Fichtl et al., 2013). Here we report on recent improved results using a novel application of histograms to visually recognise a spatial relation between objects in the environment. Using this histogram based approach we are able to report a very high rate of success when the system is asked to recognise a spatial relation.
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