• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Mathematical Problems in Engineering >Resampling to Speed Up Consolidation of Point Clouds
【24h】

Resampling to Speed Up Consolidation of Point Clouds

机译：重新采样以加速点云的整合

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Processing of large-scale scattered point clouds has currently become a hot topic in the field of computer graphics research. A supposedly valid tool in producing a set of denoised, outlier-free, and evenly distributed particles over the original point clouds, Weighted Locally Optimal Projection (WLOP) algorithm, has been used in the consolidation of unorganized 3D point clouds by many researchers. However, the algorithm is considered relatively ineffective, due to the large amount of the point clouds data and the iteration calculation. In this paper, a resampling method applied to the point set of 3D model, which significantly improves the computing speed of the WLOP algorithm. In order to measure the impact of error, which will increase with the improvement of calculation efficiency, on the accuracy of the algorithm, we define two quantitative indicators, that is, the projection error and uniformity of distribution. The performance of our method will be evaluated by using both quantitative and qualitative analyses. Our experimental validation demonstrates that this method greatly improves calculating efficiency, notwithstanding the slightly reduced projection accuracy in comparison to WLOP.
机译：大规模散乱点云的处理目前已成为计算机图形学研究领域的热门话题。加权局部最优投影（WLOP）算法被认为是在原始点云上产生一组去噪，无异常值和均匀分布的粒子的有效工具，已被许多研究人员用于合并无组织的3D点云。然而，由于大量的点云数据和迭代计算，该算法被认为是相对无效的。本文将一种重采样方法应用于3D模型的点集，这大大提高了WLOP算法的计算速度。为了测量随着计算效率的提高而增加的误差对算法精度的影响，我们定义了两个定量指标，即投影误差和分布均匀性。我们的方法的性能将通过定量和定性分析进行评估。我们的实验验证表明，尽管与WLOP相比投影方法的精度有所降低，但该方法仍大大提高了计算效率。

著录项

  • 来源
    《Mathematical Problems in Engineering》 |2015年第6期|646410.1-646410.12|共12页
  • 作者

    Yang Huanyu; Hao Kuangrong; Ding Yongsheng;

  • 作者单位

    Shanghai Open Univ, Coll Informat & Engn, Shanghai 200233, Peoples R China.;

    Donghua Univ, Minist Educ, Engn Res Ctr Digitized Text & Fash Technol, Shanghai 201620, Peoples R China.;

    Donghua Univ, Minist Educ, Engn Res Ctr Digitized Text & Fash Technol, Shanghai 201620, Peoples R China.;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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