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首页> 外文会议>KI 2011: Advances in artificial intelligence >Shape Retrieval with Qualitative Relations: The Influence of Part-Order and Approximation Precision on Retrieval Performance and Computational Effort
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Shape Retrieval with Qualitative Relations: The Influence of Part-Order and Approximation Precision on Retrieval Performance and Computational Effort

机译：具有定性关系的形状检索：零件顺序和近似精度对检索性能和计算工作量的影响

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摘要

Manifold approaches exist in the field of similarity-based shape retrieval. Although many of them achieve good results in reference tests, there has been less focus on systematically examining the factors influencing both retrieval performance and computational effort. Such an investigation, however, is important for the structured development and improvement of shape descriptors. This paper contributes a thorough investigation of the influence of the shape part-order and approximation precision. Firstly, two shape descriptors based on qualitative spatial relations are introduced and evaluated. These descriptors are particularly suited for the intended investigation because their only distinction is that one of them preserves the part-order, the other abandons it. Secondly, the recall and precision values are related to the degree of approximation in three-dimensional recall-precision-approximation diagrams. This helps choose an appropriate approximation precision. Finally, it turns out that remarkable retrieval results can be achieved even if only qualitative position information is considered.
机译：在基于相似度的形状检索领域中存在歧管方法。尽管它们中的许多在参考测试中均取得了良好的结果，但很少有系统地检查影响检索性能和计算工作量的因素的关注。但是，这样的研究对于结构开发和形状描述符的改进很重要。本文对形状零件顺序和近似精度的影响进行了深入研究。首先，介绍并评估了两个基于定性空间关系的形状描述子。这些描述符特别适合于预期的研​​究，因为它们的唯一区别是其中一个保留了零件顺序，另一个则保留了零件顺序。其次，召回率和精度值与三维召回精度近似图的逼近度有关。这有助于选择适当的近似精度。最后，事实证明，即使仅考虑定性位置信息，也可以获得显着的检索结果。

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