ICP算法在文物三维重建中的应用

Application of ICP Algorithm in Three-dimensional Reconstruction of Cultural Relics

三维结构光扫描技术作为一种新型的三维数据获取技术,被广泛应用于文物的三维重建中。目前,这项技术在数据获取方面有很多优势,但是在点云数据配准方面还有一些需要优化的地方,特别是在处理大量点数据,为保证配准结果的精确性,就需要对点云数据的配准算法就行优化。利用手持式三维结构光扫描仪获取文物三维数据,在Artec studio9软件中将原始三维数据以ply格式导出为原始点云数据,然后基于Matlab软件对ICP算法通过编程优化,将原始点云数据再通过优化后的ICP算法进行配准,得到文物三维模型的构建数据。实验分析表明,优化后的ICP配准算法不但能提升配准精确度,而且可以保证配准方向的合理性,使得配准得到更佳的展示效果。

As a new kind of three-dimensional data acquisition technology,the three-dimensional structured light scanning technology is widely used in three-dimensional reconstruction of the cultural relics.At present,this technology has many advantages in data acquisition,but there are still some areas need to be optimized in point cloud data registration,especially in dealing with a large number of points.In order to ensure the accuracy of registration results,it is necessary to optimize the registration algorithm of point cloud data.Hand held three-dimensional structured light scanner can be used to collect the three-dimensional data of cultural relics,and in the Artec studio 9 software,the original data will be exported as the original point cloud data in ply format.And then,based on Matlab,the ICP algorithm is optimized by programming.The original point cloud data are registered by the optimized ICP algorithm,and the construction data of the three-dimensional model of cultural relics are obtained.Experimental analysis shows that the improved ICP registration algorithm can not only greatly improve the registration accuracy but also guarantee the rationality of registration direction to achieve better effect of registration.