计算机工程与应用 ›› 2009, Vol. 45 ›› Issue (15): 6-8.DOI: 10.3778/j.issn.1002-8331.2009.15.002

• 博士论坛 • 上一篇    下一篇

自动识别街道立面凹凸边界

李 畅1,张剑清1,2,邹松柏1,杨 玲1   

  1. 1.武汉大学 遥感信息工程学院,武汉 430079
    2.武汉大学 测绘遥感信息工程国家重点实验室,武汉 430079
  • 收稿日期:2009-02-24 修回日期:2009-03-27 出版日期:2009-05-21 发布日期:2009-05-21
  • 通讯作者: 李 畅

Auto-recognizing concavo-convex edge of street elevation

LI Chang1,ZHANG Jian-qing1,2,ZOU Song-bai1,YANG Ling1   

  1. 1.School of Remote Sensing and Information Engineering,Wuhan 430079,China
    2.State Key Lab for Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430079,China
  • Received:2009-02-24 Revised:2009-03-27 Online:2009-05-21 Published:2009-05-21
  • Contact: LI Chang

摘要: 由于三维空间中存在大量的线、面特征,所以基于线、面特征进行三维重建具有十分广阔的前景。然而,由于噪声和提取直线算法的影响,凹凸面的关键边界直线未能提取出来,那么如何识别无法提取出的关键凹凸面边界直线,是一个有待解决的问题。提出了通过同名直线(对应直线)前方交会出空间直线、空间直线基于带限制条件的间接平差拟合出空间平面、空间平面再相交,交出关键边界直线的新算法,解决了上述关键边界直线缺失的问题。通过实验,验证了该识别算法的正确性、有效性和实用性。

Abstract: Since there are abundant lines feature,plane feature in 3D space,utilizing these information to reconstruct 3D objects has a very broad prospects.However,due to the negative influence of noise and algorithm of extracting straight line,concavo-convex critical edging lines can not be extracted.Thus,how to recognize those not extracted concavo-convex critical edging lines leaves much to be desire.This paper suggests a novel algorithm to resolve this problem by following:Firstly,utilizing matched corresponding lines does space intersection to get space lines.Secondly,utilizing space lines fits space planes by parameter adjustment with constraint.Thirdly,space planes intersect to get concavo-convex critical edging lines.Finally,experimental results prove that our recognition algorithm has correctness,precise and practicality.