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STL文件的法向量错误修复 被引量:2

Repair normal vector error in STL file
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摘要 为了修复STL文件中的法向量错误,首先将有法向量错误的三角面片所围成的轮廓分为单个环、相连环以及环中环三种类型;然后采用如下的步骤来修复错误:找到所有有法向量错误的三角面片的边界边,找出边界边形成的封闭环,标记封闭环内的三角面片,使封闭环内的三角面片的法向量反向。最后实现了所提的法向量修复算法,并用例子验证了算法的正确性。该方法可用于STL文件的错误检测和修复中。 In order to repair the normal vector error in STL file,this paper first classified the contours surrounded by the triangular facets with normal vector error into three types,respectively single closed contour,linked closed contours and nested closed contours. Then it repaired the normal vector error as follows: found the border edges of all the facets with normal vector error,found the closed contours formed by the border edges,marked the facets inside the contours,and reversed the direction of the normal vector of each facet inside the contour. It implemented and verified this algorithm by examples. The method proposed in this paper can be used in error detection and repair with STL file.
出处 《计算机应用研究》 CSCD 北大核心 2015年第10期3196-3200,共5页 Application Research of Computers
基金 国家自然科学基金青年项目(11301524) 重庆市科技攻关重点项目(cstc2012gg B40004)
关键词 STL文件 3D打印 STL错误的修复 法向量错误的修复 边界边 STL file 3D printing STL error repair normal vector error repair border edges
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  • 1李娜,程继红,杨继全.3DP分层切片中基于点云射线投影的NURBS曲面切片算法[J].机械科学与技术,2015,34(2):242-246. 被引量:5
  • 2赵吉宾,刘伟军,王越超.基于NURBS曲线的STL模型截面轮廓平滑处理技术研究[J].小型微型计算机系统,2005,26(3):496-499. 被引量:10
  • 3朱根松,张峰,付求涯.STL切片数据的双弧曲线拟合算法[J].机电工程,2006,23(9):32-34. 被引量:2
  • 4温佩芝,吴晓军,吴成柯,刘伟军.自适应细分曲面算法及在快速成型数据处理中的应用[J].计算机集成制造系统,2007,13(3):608-613. 被引量:4
  • 5Gao W,Zhang Y B,Ramanujan D,et al.The status,challenges,and future of additive manufacturing in engineering[J].Computer-Aided Design,2015,69(8):65-89.
  • 6Barbero B R,Ureta E S.Comparative study of different digitization techniques and their accuracy[J].Computer-Aided Design,2011,43(2):188-206.
  • 7Curkovic M,Vucina D.3D shape acquisition and integral compact representation using optical scanning and enhanced shape parameterization[J].Advanced Engineering Informatics,2014,28 (2):111-126.
  • 8Yan F,Sharf A,Lin W,et al.Proactive 3d scanning of inaccessible parts[J].ACM Transactions on Graphics,2014,33(4):1-8.
  • 9Hashimoto T,Suzuki T,Aoshima H,et al.Multi-camera based high precision measurement approach for surface acquisition[J].Acta Polytechica Hungarica,2013,10(8):139-152.
  • 10Stark R,Grosser H,Muller P.Product analysis automation for digital MRO based on intelligent 3D data acquisition[J].CIRP Annals Manufactu-ring Technology,2013,62(1):123-126.

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