基于点云面的区域性三维重建及点云拼接
发布时间：2018-11-20 12:41
【摘要】：目前基于点云面的三维重建方法中,重建的区域性选择存在着两个问题:重建区域过大会导致目标物体不明确,效果不佳,运行时间长;重建区域过小会导致目标物体不完整,信息丢失。针对重建窗口过大时,采用改进的Snake的区域性重建算法,即通过轮廓提取只对窗口内的目标物进行重建;针对重建窗口过小时,采用基于投影面的点云拼接算法,即通过重建后的点云进行拼接的方法使目标物体恢复完整。以上两点改进弥补了点云三维重建及拼接时出现的应用局限性和不稳定性,减少了重建时间,提高重建有效性,鲁棒性。
[Abstract]:In the current 3D reconstruction method based on point cloud surface, there are two problems in the regional selection of reconstruction: the target object is not clear, the effect is not good, and the running time is long; If the reconstructed area is too small, the target object will be incomplete and the information will be lost. When the reconstruction window is too large, the improved regional reconstruction algorithm of Snake is adopted, that is, only the object in the window is reconstructed by contour extraction. The point cloud mosaic algorithm based on projection plane is used to reconstruct the window too small, that is to say, the target object is restored to complete by the point cloud splicing after reconstruction. The above two improvements make up for the limitation and instability of point cloud 3D reconstruction and stitching, reduce the reconstruction time, improve the effectiveness and robustness of the reconstruction.
【作者单位】： 广西师范大学电子工程学院;广西师范大学药用资源化学与药物分子工程教育部重点实验室;桂林电子科技大学广西自动检测技术与仪器重点实验室;
【基金】：国家自然科学基金资助项目(21327007) 广西自然科学基金资助项目(2013GXNSFBA019278)
【分类号】：TP391.41
，
本文编号：2344938
[Abstract]:In the current 3D reconstruction method based on point cloud surface, there are two problems in the regional selection of reconstruction: the target object is not clear, the effect is not good, and the running time is long; If the reconstructed area is too small, the target object will be incomplete and the information will be lost. When the reconstruction window is too large, the improved regional reconstruction algorithm of Snake is adopted, that is, only the object in the window is reconstructed by contour extraction. The point cloud mosaic algorithm based on projection plane is used to reconstruct the window too small, that is to say, the target object is restored to complete by the point cloud splicing after reconstruction. The above two improvements make up for the limitation and instability of point cloud 3D reconstruction and stitching, reduce the reconstruction time, improve the effectiveness and robustness of the reconstruction.
【作者单位】： 广西师范大学电子工程学院;广西师范大学药用资源化学与药物分子工程教育部重点实验室;桂林电子科技大学广西自动检测技术与仪器重点实验室;
【基金】：国家自然科学基金资助项目(21327007) 广西自然科学基金资助项目(2013GXNSFBA019278)
【分类号】：TP391.41
，
本文编号：2344938
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