本文選題：反求工程　切入點(diǎn)：曲率分析　出處：《現(xiàn)代制造工程》2017年04期

【摘要】：隨著激光掃描技術(shù)的不斷發(fā)展,數(shù)據(jù)獲得的速度及數(shù)據(jù)采集的密度也得到逐步提高。與此同時(shí),怎樣處理這些大批量的數(shù)據(jù)點(diǎn)也將成為基于激光掃描測(cè)量造型的主要問(wèn)題。如果直接對(duì)點(diǎn)云進(jìn)行造型處理,大批量數(shù)據(jù)的存儲(chǔ)和處理將成為不可突破的瓶頸,從點(diǎn)云到模型重建整個(gè)過(guò)程將變得難以控制。目前的多數(shù)算法以犧牲效率來(lái)?yè)Q取精度,而適應(yīng)性最小距離法正是一種平衡效率和精度的數(shù)據(jù)精簡(jiǎn)算法。實(shí)例證明了適應(yīng)性最小距離法的有效性。
[Abstract]:With the development of laser scanning technology, the speed of data acquisition and the density of data acquisition are improved.At the same time, how to deal with these mass data points will also become a major problem based on laser scanning measurement modeling.If the point cloud is modeled directly, the storage and processing of large quantities of data will become the bottleneck that can not be broken through, and the whole process from point cloud to model reconstruction will become difficult to control.At present, most algorithms sacrifice efficiency for accuracy, and adaptive minimum distance method is a data reduction algorithm for balancing efficiency and precision.Examples show that the adaptive minimum distance method is effective.
【作者單位】： 河南機(jī)電職業(yè)學(xué)院;鄭州大學(xué);
【分類(lèi)號(hào)】：TN249;TP274

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1 上官建林;郭三刺;;反求工程中數(shù)據(jù)精簡(jiǎn)技術(shù)的研究[J];機(jī)械管理開(kāi)發(fā);2011年04期

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本文編號(hào)：1700832