Learning Qualitative Spatial Relations for Object Classification
Learning Qualitative Spatial Relations for Object Classification
复制标题
学习对象分类的定性空间关系
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
J. Little
中科院分区：
文献类型：
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作者：
T. Southey;J. Little
在本文中，我们描述了学习人类环境中发现的对象之间的一般3D空间关系的模型的研究。我们的方法利用多个环境中所有对象之间的定性空间关系来训练最大熵模型，并产生对象之间潜在的空间规律的模型。它作为一个纯粹的空间对象分类器进行了测试，任务是根据它们相对于环境中其他对象的位置来识别数百个对象。我们还从商业发行的电脑游戏《长老卷轴4：遗忘》中介绍了一个关于人类环境中物体排列的新数据来源。
In this paper, we describe research into learning a model of the general 3D spatial relationships between objects found in human environments. Our approach trains a maximum entropy model using the qualitative spatial relationships between all the objects in several environments and produces a model of the underlying spatial regularities between the objects. It is tested as a purely spatial object classifier on the task of recognizing hundreds of objects based on their position relative to the other objects in their environment. We also introduce a novel source of data about object arrangement in human environments from the commercially released computer game Elder Scrolls 4: Oblivion.