首页 > 论文 > 激光与光电子学进展 > 55卷 > 8期(pp:81012--1)

基于表面纹理特征定义的碎片拼接方法

Fragment Splicing Method Based on Surface Texture Characteristic

  • 摘要
  • 论文信息
  • 参考文献
  • 被引情况
  • PDF全文
分享:

摘要

在陶制文物的虚拟复原过程中,由于其本身质地、环境及人为因素等影响,文物碎片易受损缺失,基于断裂部位几何信息的传统拼接方法存在一定局限性。针对断裂部位缺损的陶制文物碎片,提出一种结合碎片表面纹理特征及断裂边界轮廓线的拼接方法:利用曲率确定潜在脊点,并用最小二乘法拟合,提取碎片表面纹理特征线;结合纹理形状边长及顶点角度信息进行纹元分析,构造破损纹理约束条件,实现初步匹配;将断裂边界轮廓角点集合中的相邻两点连接为弦,形成轮廓线弦长序列描述子,对轮廓线位置信息进行约束,得到最终匹配对。结果表明,此算法能实现断裂部位缺损陶制文物碎片的拼接,对具有显著纹理特征的碎片拼接具有一定的优越性。

Abstract

In the process of restoration of ceramic artifacts, the fractured site is easy to be damaged due to its own characteristics, the environment, and man-made factors. The traditional stitching method based on geometric information of fracture location has some limitations. We propose a method of splicing of fractured sites combined with surface texture and boundary contour for the restoration of fragments of ceramic artifacts. Firstly, the potential ridge points are determined by the curvature and the least squares method is used to extract the texture features of the debris surface. Then, the texture elements are combined with the edge length and the vertex angle information to construct damaged texture constraints and realize preliminary matching. Two adjacent points in the boundary set of the contours are concatenated to form the contour chord sequence descriptor, and the contour position information is constrained to obtain the final matching pair. The results show that the proposed algorithm can achieve the splicing of broken artifact fragments, and it has certain advantages for the debris with obvious texture features.

Newport宣传-MKS新实验室计划
补充资料

中图分类号:TP391.4

DOI:10.3788/lop55.081012

所属栏目:图像处理

基金项目:国家自然科学基金重点项目(61731015)、国家自然科学基金面上项目(61673319,61373117)、国家自然科学基金青年基金(61602380)、陕西省自然科学基金(2018JM6029)

收稿日期:2018-01-25

修改稿日期:2018-03-06

网络出版日期:2018-03-08

作者单位    点击查看

王飘:西北大学信息科学与技术学院, 陕西 西安 710127
耿国华:西北大学信息科学与技术学院, 陕西 西安 710127
张雨禾:西北大学信息科学与技术学院, 陕西 西安 710127

联系人作者:耿国华(ghgeng@nwu.edu.cn); 王飘(wendywp@126.com);

【1】Zhang K, Li X. A graph-based optimization algorithm for fragmented image reassembly[J]. Graphics Models, 2014, 76: 484-495.

【2】Yang S, Xia M H, Zheng Z S. Medical image registration algorithm based on polynomial deterministic matrix and SIFT transform[J]. Laser & Optoelectronics Progress, 2016, 53(8): 081002.
杨飒, 夏明华, 郑志硕. 基于多项式确定性矩阵的SIFT医学图像配准算法[J]. 激光与光电子学进展, 2016, 53(8): 081002.

【3】Tu C P, Chai Y H, Li G L, et al. An image mosaic method based on refined corner points feature matching[J]. Research and Exploration in Laboratory, 2011, 30(10): 40-43.
涂春萍, 柴亚辉, 李广丽, 等. 一种基于Harris角点特征精确匹配的图像拼接方法[J]. 实验室研究与探索, 2011, 30(10): 40-43.

【4】Ucoluk G, Toroslu I H. Automatic reconstruction of broken 3D surface objects[J]. Technical Section, 1999, 23(4): 573-582.

【5】Cohen F, Liu Z, Ezgi T. Virtual reconstruction of archeological vessels using expert priors and intrinsic differential geometry information[J]. Computers & Graphics, 2013, 37(1-2): 41-53.

【6】Li S S, Geng G H, Zhou M Q, et al. Interactive reassembly of fractured fragments based on surface adjacency constraint[J]. Journal of Computer-Aided Design & Computer Graphics, 2016, 28(6): 924-931.
李珊珊, 耿国华, 周明全, 等. 基于表面邻接约束的交互式文物碎片重组[J]. 计算机辅助设计与图形学学报, 2016, 28(6): 924-931.

【7】Guo M, Hu L L, Li J. Local point cloud reconstruction of ceramic-bowl-surface defect based on multi-image sequences[J]. Acta Optica Sinica, 2017, 37(12): 1215002.
郭萌, 胡辽林, 李捷. 基于多幅图像的陶瓷碗表面缺陷的局部点云重建[J]. 光学学报, 2017, 37(12): 1215002.

【8】Arbace L, Sonnino E, Callieri M, et al. Innovative uses of 3D digital technologies to assist the restoration of a fragmented terracotta statue[J]. Journal of Cultural Heritage, 2013, 14(4): 332-345.

【9】Huang Q X, Flory S, Gelfand N, et al. Reassembling fractured objects by geometric matching[J]. ACM Transactions on Graphics, 2006, 25(3): 569-578.

【10】Winkelbach S, Wahl F M. Pairwise matching of 3D fragments using cluster trees[J]. International Journal of Computer Vision, 2008, 78(1): 1-13.

【11】Li Q H,Zhang J Z, Geng G H, et al. Fracture surfaces matching based on contour curve[J]. Journal of Xi’an Jiaotong University, 2016, 50(9): 105-110.
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.

【12】Zhou P B, Li J J N, Shui W Y. Virtual restoration of broken artifacts based on fracture surface[J]. Journal of System Simulation, 2014, 26(9): 2176-2179.
周蓬勃, 李姬俊男, 税午阳. 基于断裂面匹配的破碎文物的虚拟修复方法[J]. 系统仿真学报, 2014, 26(9): 2176-2179.

【13】Liu J, Zhou M Q, Geng G H, et al. Fragments splicing method for terra-cotta figures of Qin Dynasty based on contours and fracture surfaces matching[J]. Computer Engineering, 2014, 40(1): 181-185.
刘军, 周明全, 耿国华, 等. 基于轮廓与断面匹配的秦俑碎片拼接方法[J]. 计算机工程, 2014, 40(1): 181-185.

【14】Zhao F Q, Geng G H. Fracture surface matching method of terracotta based on feature points[J]. Laser & Optoelectronics Progress, 2018, 55(4): 041005.
赵夫群, 耿国华. 基于特征点的秦俑断裂面匹配方法[J]. 激光与光电子学进展, 2018, 55(4): 041005.

【15】Judd T, Durand F, Adelson E. Apparent ridges for line drawing[J]. ACM Transactions on Graphics, 2007, 26(3): 19.

【16】Pang X F, Pang M Y, Xiao C X. An algorithm for extracting and enhancing valley-ridge features from point sets[J]. Acta Automatic Sinica, 2010, 36(8): 1073-1083.
庞旭芳, 庞明勇, 肖春霞. 点云模型谷脊特征的提取与增强算法[J]. 自动化学报, 2010, 36(8): 1073-1083.

【17】Wang D J. The research on pieces of bronze relics virtual stitching technology and geometric feature extraction[D]. Taiyuan: North University of China, 2017: 18-24.
王栋娟. 青铜器文物碎片虚拟拼接技术研究及几何特征提取[D]. 太原: 中北大学, 2017: 18-24.

【18】Grabowski S. A note on the longest common substring with k-mismatches problem[J]. Information Processing Letters, 2015, 115(6/7/8): 640-642.

引用该论文

Wang Piao,Geng Guohua,Zhang Yuhe. Fragment Splicing Method Based on Surface Texture Characteristic[J]. Laser & Optoelectronics Progress, 2018, 55(8): 081012

王飘,耿国华,张雨禾. 基于表面纹理特征定义的碎片拼接方法[J]. 激光与光电子学进展, 2018, 55(8): 081012

您的浏览器不支持PDF插件,请使用最新的(Chrome/Fire Fox等)浏览器.或者您还可以点击此处下载该论文PDF