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首页> 外文期刊>International Journal of Computer Integrated Manufacturing >Geometric feature recognition: coping with the complexity and infinite variety of features
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Geometric feature recognition: coping with the complexity and infinite variety of features

机译：几何特征识别：应对复杂而多样的特征

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摘要

A fully algorithmic method for geometric feature recognition (GFR), which is a frequently encountered task in developing automated software tools for concurrent engineering, is developed. A feature taxonomy based on the concept of atomic features(called PTFs) and their variations (VPTFs) enables the recognition of the infinite variety of features that arise in practice from a finite feature database. Computational economy is achieved by separating the feature extraction and feature identification phases and utilizing two new algorithms for decomposing protrusion and depression types of complex features in terms of constituent PTF/VPTFs. The algorithms are based on a heuristic understanding of the ways in which PTFs interact. The methodologyresults in a unique high level representation of the object in terms of context independent geometric features. The strategy has been found to be robust when applied to a large number of test objects containing a wide variety of polyhedral and cylindrical features.
机译：开发了一种用于几何特征识别（GFR）的完全算法方法，这是在开发用于并行工程的自动化软件工具时经常遇到的任务。基于原子特征（称为PTF）及其变体（VPTF）的概念的特征分类法，可以识别实际上来自有限特征数据库的无限多种特征。通过分离特征提取和特征识别阶段，并利用两种新算法根据构成的PTF / VPTF分解复杂特征的突出和凹陷类型，可以实现计算经济。该算法基于对PTF交互方式的启发式理解。该方法根据上下文无关的几何特征产生对象的唯一高级表示。已经发现，当将该策略应用于包含多种多面体和圆柱特征的大量测试对象时，该策略是可靠的。

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