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Received:June 23, 2009
Received:June 23, 2009
中文摘要: 对获取的点云数据进行降噪处理,是曲面重构过程的关键技术之一。充分利用三维空间散乱点的深度信息,重新诠释图像去噪中的“超限邻域平均法”,使其对二维图像的运用转换为对三维图形数据点的操作,并结合运用空间解析几何理论,提出一种直接对三维无组织散乱点去噪算法。从试验结果来看,本算法在去除噪声点的同时很好地保留了散乱点模型的细节特征,噪声去除效果理想。
Abstract:Point clouds denoising is one of surface reconstruction’s key technologies. This paper makes full use of space unorganized points’ inner information, to re-interpret over-domain average method of image denois- ing theory, so that the theory of two-dimensional space can be applied to three-dimensional space’s point data. And based on the space analytic geometry theory, it creates a method of three-dimensional space’s unorganized point clouds denoising. The experimental results show that this method better retains detail fea- tures of the unorganized points of 3D shape and noise is obviously suppressed after point clouds denoising.
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基金项目:国家自然科学基金(50805031),广西科学基金 (桂科自0991240),广西研究生科研创新项目(2008105950812M423)
Author Name | Affiliation |
LI Yuan-Wang | 桂林电子科技大学 计算机与控制学院 广西 桂林 541004 |
HUANG Wen-Ming | |
WEN Pei-Zhi | |
WU Xiao-Jun |
Author Name | Affiliation |
LI Yuan-Wang | 桂林电子科技大学 计算机与控制学院 广西 桂林 541004 |
HUANG Wen-Ming | |
WEN Pei-Zhi | |
WU Xiao-Jun |
引用文本:
李元旺,黄文明,温佩芝,吴晓军.空间超限邻域点云去噪算法的研究与实现.计算机系统应用,2010,19(3):35-38
LI Yuan-Wang,HUANG Wen-Ming,WEN Pei-Zhi,WU Xiao-Jun.Research and Implementation for Over-Domain of Space Point Clouds Denoising.COMPUTER SYSTEMS APPLICATIONS,2010,19(3):35-38
李元旺,黄文明,温佩芝,吴晓军.空间超限邻域点云去噪算法的研究与实现.计算机系统应用,2010,19(3):35-38
LI Yuan-Wang,HUANG Wen-Ming,WEN Pei-Zhi,WU Xiao-Jun.Research and Implementation for Over-Domain of Space Point Clouds Denoising.COMPUTER SYSTEMS APPLICATIONS,2010,19(3):35-38