摘要
提出了一种从真实物体中获得其3D模型的方法。该方法通过TOF-Camera获得原始的点云数据,在对点云数据进行三角化、分割、滤波去噪等处理后得到部分物体模型,然后再应用ICP(迭代最近点)算法对其进行配准。配准过程中为了节省内存,删掉重叠的冗余数据。最后对生成的数据进行网格重建,得到完整的网格模型。实验表明该方法能较为快速地获取真实物体的3D模型,显著提高TOF相机获取数据的质量。
A new method that can acquire 3D models from real objects with complex surfaces is proposed in this paper.This method first gets the source depth images from a TOF-Camera and get the partial meshes of the object after the image preprocessing such as triangulation,segmentation,denoising and smoothing,then aligned these partial meshes using Iterative Closest Point（ICP） algorithm.During the alignment process delete the overlap data to reduce memory usage.After the align process,in order to get an intact model of the object,we combine the portions together and reconstruct the mesh after remove the overlap points of meshes.Experimental results show that the proposed method can obtain models of complex surface objects in a short time and can highly improve the quality of the original data.
出处
《微计算机应用》
2011年第10期21-26,共6页
Microcomputer Applications
