Extraction and Recognition Algorithm in 3D Object Features

Z. Sukimin, H. Haron
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引用次数: 2

Abstract

Extraction of 3D object is often an important pre-processing step in recognizing object. Analysis over previous related works of multiple researchers necessitates the use of either feature selection algorithm or extraction algorithm prior to classification. Algorithm becomes an important part of future application programs for checking design rules and generating manufacturing advice and plans. In this paper, the authors present the methodology used in developing the algorithm proposed. The process is focusing in designing, analysis and extraction over DXF file format. Presents also the algorithm develops in extracting and recognizing the object. The process of recognition object may involve extraction on code of the design. This extraction process will reject and select some of the code which is suspected notoriously redundant. Only relevant information from the code of the design will be extract. Although the algorithm successfully works, further work still needs to be done to make it more functional.
三维目标特征的提取与识别算法
三维目标的提取通常是目标识别的重要预处理步骤。对多个研究人员之前的相关工作进行分析,需要在分类之前使用特征选择算法或提取算法。算法将成为未来应用程序中检验设计规则、生成制造建议和计划的重要组成部分。在本文中,作者介绍了用于开发所提出的算法的方法。该过程侧重于DXF文件格式的设计、分析和提取。介绍了该算法在目标提取和识别方面的进展。识别对象的过程可能涉及到对设计代码的提取。这个提取过程将拒绝并选择一些被怀疑是众所周知的冗余的代码。仅从设计代码中提取相关信息。虽然该算法成功地工作了,但仍需要做进一步的工作以使其更有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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