基于特征点的秦俑断裂面匹配方法

Fracture Surface Matching Method for Terracotta Based on Feature Points

针对秦俑碎块存在缺损、匹配精度低、速度慢等问题,提出一种基于内部形态描述子(ISS)特征点的碎块断裂面匹配方法。对碎块进行外表面分割,并提取碎块的断裂面;提取断裂面上的ISS特征点,计算特征点的特征序列,并通过特征序列的匹配来实现断裂面的粗匹配;采用一种基于模拟退火的改进迭代最近点算法对断裂面的特征点集进行再次匹配,实现断裂面的细匹配,以达到碎块精确匹配的目的。对4组秦俑碎块进行匹配实验,结果表明,该方法比现有方法具有更高的匹配精度和速度,是一种有效的秦俑碎块匹配方法。

Aiming at the defects of fragmentation, low matching precision, and slow speed for Terracotta blocks matching, we propose a fracture surface matching method based on intrinsic shape signature （ISS） feature points. Firstly, the outer surfaces of blocks are segmented, and the fracture surfaces are extracted. Secondly, the ISS feature points of fracture surfaces are extracted, the feature sequences of feature points are calculated, and the fracture surfaces are matched based on feature sequences. Finally, an improved iterative closest point algorithm based on simulated annealing is used to match the feature point sets again. Thus, the fine matching of fracture surfaces is completed, and the blocks are matched accurately. We match four groups of Terracotta blocks, and the results show that the proposed method is more accurate and faster than other methods and effective for Terracotta blocks matching.