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计算机工程

• 人工智能及识别技术 • 上一篇    下一篇

基于轮廓与断面匹配的秦俑碎片拼接方法

刘 军1,2,周明全3,耿国华1,李姬俊男1   

  1. (1. 西北大学可视化技术研究所,西安 710027;2. 渭南师范学院数学与信息科学学院,陕西 渭南 714000; 3. 北京师范大学信息科学与技术学院,北京 100875)
  • 收稿日期:2012-12-10 出版日期:2014-01-15 发布日期:2014-01-13
  • 作者简介:刘 军(1973-),男,副教授、博士研究生,主研方向:文化遗产数字化保护,智能信息处理;周明全、耿国华,教授、博士生导师;李姬俊男,博士研究生
  • 基金资助:
    国家自然科学基金资助项目(61172170);国家“973”计划基金资助项目(2011CB311801);陕西省自然科学基金资助项目(2012JM8031);陕西省教育厅科学研究计划基金资助项目(2013JK1194)

Fragments Splicing Method for Terra-cotta Figures of Qin Dynasty Based on Contours and Fracture Surfaces Matching

LIU Jun 1,2, ZHOU Ming-quan 3, GENG Guo-hua 1, LIJI Jun-nan 1   

  1. (1. Institute of Visualization Technology, Northwest University, Xi’an 710027, China; 2. College of Mathematics and Information Science, Weinan Normal University, Weinan 714000, China; 3. College of Information Science and Technology, Beijing Normal University, Beijing 100875, China)
  • Received:2012-12-10 Online:2014-01-15 Published:2014-01-13

摘要: 针对兵马俑第3次发掘大量破碎俑片的虚拟复原需求,分析秦俑碎片拼接的特殊性,归纳陶制碎片的分类原则,提出一种结合碎片边缘轮廓和断裂面匹配的混合拼接方法。依据俑体碎片断裂面厚度,将其映射到空间曲线模板或空间曲面模板。基于积分不变量计算俑体碎片特征向量,采用一致性约束方法获取碎片初始匹配点对。利用筛选算法去除伪初始匹配点对,应用几何哈希算法寻找碎片最优匹配点对。其中,空间轮廓曲线匹配基于多边形弧串匹配法,空间曲面匹配基于多尺度积分不变量法。对破碎兵俑和陶马的拼接结果表明,该方法能正确得到碎片间的匹配关系,具有较好的鲁棒性。

关键词: 数字考古, 兵马俑, 虚拟复原, 碎片拼接, 参数化分类, 空间曲线, 空间曲面

Abstract: To meet the virtual restoration requirement of large amounts of fragments in the third excavation of Terra-cotta Warriors and Horses, properties of the fragments are analyzed, and the classification principles of earthen tub fragments are induced. In view of the fragment classification and different thicknesses of the fracture surfaces, a fragments splicing method is proposed, which combines the spatial contour curves matching and the spatial fracture surfaces matching. All of the fragments are classified according to the thickness of sections, and different matching methods are employed to adapt to different types of fragments. The multi-scale integral invariants are used as the feature representation methods for the contour curves and fracture surfaces, and the initial matching point pairs are obtained by the consistency constraint method. The filtering algorithm is used to remove the pseudo matching points, and the geometric hashing algorithm is used to find the optimal matching to get the local and global matching. This method is applied to the restoration of Terra-cotta Warriors and Horses, and the results show that it can get correct matching relationship between fragments and has good robustness.

Key words: digital archeology, Terra-cotta Warriors and Horses, virtual restoration, fragments splicing, parametric classification, spatial curve, spatial surface

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