热核信号驱动的文物碎片断裂面拼接方法
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摘要
为了进一步减少文物碎片拼接误差,特别是轮廓特征线不完整或不连续的碎片,提出一种热核信号(heat kernel signature)驱动的文物碎片断裂面拼接方法,首先根据断裂面局部曲率值设置初始特征点,并对初始特征点集合进行适当扩展,计算特征点的热核信号,根据热核信号值获得特征点匹配对,最终进行碎片准确拼接。通过与相关算法实验对比,本文方法产生拼接误差缩小至8%～33%,表明本文方法产生的拼接误差更小,对于那些不能完整呈现断裂面轮廓的碎片具有更好的拼接效果。
In order to furtherly reduce the assembly error,especially for the fragments incomplete or discontinuous, an approach of relic fragments assembly on fractured surfaces driven by heat kernel signature is proposed.Firstly,initial feature points are fixed based on local curvature value of fractured surfaces and extended properly later,then heat kernel signature values of feature points are calculated and feature pairs are acquired.Finally,fragments are assembled accurately.Compared to related algorithm by experiment,the approach proposed can reduce assembly error to 8%-33%,the result indicates that the approach produce smaller assembly error and produce better assembly effect for the fragments with incomplete fracture surface contour.
In order to furtherly reduce the assembly error,especially for the fragments incomplete or discontinuous, an approach of relic fragments assembly on fractured surfaces driven by heat kernel signature is proposed.Firstly,initial feature points are fixed based on local curvature value of fractured surfaces and extended properly later,then heat kernel signature values of feature points are calculated and feature pairs are acquired.Finally,fragments are assembled accurately.Compared to related algorithm by experiment,the approach proposed can reduce assembly error to 8%-33%,the result indicates that the approach produce smaller assembly error and produce better assembly effect for the fragments with incomplete fracture surface contour.
引文
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[15] YU W,LI M,LI X.Fragmented skull modeling using heat kernels[J].Graphical Models,2012,74(4):140-151.
[16] BELKIN M,SUN J,WANG Y.Discrete laplace operator on meshed surfaces[C]//Twenty-Fourth Symposium on Computational Geometry.New York:ACM,2008:278-287.
[2] 袁小翠,吴禄慎,陈华伟.特征保持点云数据精简[J].光学精密工程,2015,23(9):2666-2676.
[3] 张雨禾,耿国华,魏潇然.散乱点云谷脊特征提取[J].光学精密工程,2015,23(1):310-318.
[4] 樊少荣,茹少峰,周明全,等.破碎刚体三角网格曲面模型的特征轮廓线提取方法[J].计算机辅助设计与图形学学报,2005,17(9):2003-2009.
[5] 李群辉,张俊祖,耿国华,等.以轮廓曲线为特征的断裂面匹配[J].西安交通大学学报,2016,50(9):105-110.
[6] 周明全,袁洁,耿国华,等.基于轮廓线特征点的交互式文物拼接[J].光学精密工程,2017,25(6):1597-1606.
[7] KARASIK A,SMILANSKY U.3D scanning technology as a standard archaeological tool for pottery analysis:practice and theory[J].Journal of Archaeological Science,2008,35(5):1148-1168.
[8] 蔺素珍,王栋娟,钟家让,等.利用曲率特征虚拟拼接青铜器小碎片的方法[J].西安电子科技大学学报,2016,43(6):141-146.
[9] 李群辉,周明全,耿国华.破碎刚体复原中的断裂面匹配算法[J].小型微型计算机系统,2013,34(7):1675-1679.
[10] MANAY S,HONG B W,YEZZI A J,et al.Integral invariant signatures[C]//Computer Vision - ECCV 2004,European Conference on Computer Vision.Prague:DBLP,2004:87-99.
[11] POTTMANN H,WALLNER J,HUANG Q X,et al.Integral invariants for robust geometry processing[J].Computer Aided Geometric Design,2009,26(1):37-60.
[12] 李姬俊男,耿国华,周明全,等.文物碎块虚拟拼接中的表面特征优化[J].计算机辅助设计与图形学学报,2014,26(12):2149-2154.
[13] JOHNSON A E.Spin-images:a representation for 3-D surface matching[D].Pittsburgh:Carnegie Mellon University,1997.
[14] SUN J,OVSJANIKOV M,GUIBAS L.A concise and provably informative multi-scale signature based on heat diffusion[J].Computer Graphics Forum,2009,28(5):1383-1392.
[15] YU W,LI M,LI X.Fragmented skull modeling using heat kernels[J].Graphical Models,2012,74(4):140-151.
[16] BELKIN M,SUN J,WANG Y.Discrete laplace operator on meshed surfaces[C]//Twenty-Fourth Symposium on Computational Geometry.New York:ACM,2008:278-287.
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