首页> 外文会议>IEEE International Conference on Image Processing >SCALE RATIO ICP FOR 3D POINT CLOUDS WITH DIFFERENT SCALES
【24h】

SCALE RATIO ICP FOR 3D POINT CLOUDS WITH DIFFERENT SCALES

机译:比例比例ICP用于3D点云的不同尺度

获取原文

摘要

In this paper we propose a method for matching the scales of 3D point clouds. 3D point sets of the same scene obtained by 3D reconstruction techniques usually differ in scale. To match scales, we estimate the ratio of scales of two given 3D point clouds. By performing PCA of spin images over different scales of two point clouds, two sets of cumulative contribution rate curves are generated. Such sets of curves can be considered to characterize the scale of the given 3D point clouds. To find the scale ratio of two point clouds, we register the two sets of curves by using a variant of ICP that estimates the ratio of scales. Simulations with the Stanford bunny and experimental results with 3D reconstructions of artificial and real scenes demonstrate that the ratio of any 3D point clouds can be effectively used for scale matching.
机译:在本文中,我们提出了一种匹配3D点云的尺度的方法。通过3D重建技术获得的相同场景的3D点集通常呈规模不同。为了匹配尺度,我们估计两个给定3D点云的比例的比例。通过在两个点云的不同尺度上执行旋转图像的PCA,产生两组累积贡献速率曲线。可以考虑这样的一组曲线来表征给定3D点云的比例。为了找到两个点云的比例比,我们通过使用估计尺度比例的ICP的变体来注册两组曲线。用斯坦福兔子和实验结果模拟人工和真实场景的3D重建的实验结果表明,任何3D点云的比率都可以有效地用于比例匹配。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号