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基于PCL的点云数据压缩研究 被引量:4

Point Could Data Compression based on PCL
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摘要 研究基于开源C++编程库PCL(点云库),在VS2010平台上读取由Kinect获取的PLY格式的三维模型数据,利用PCL的Octree(八叉树)类为点云数据构建八叉树结构、进行八叉树编码,实现了点云数据的高效压缩方案。此压缩方案可以针对不同的应用场合设置不同的精简点距离,简洁高效,减少了数据的空间占用,且便于数据的在线传输。 Based on the open-source C++programming library PCL(point cloud library), read the PLY format 3D model data obtained by Kinect on VS2010 platform, with PCL Octree constructs, build octree structure and do octree coding for point cloud data, to achieve an efficient compression scheme . This scheme can set different sampling distance, it is simple and efficient , reducing the space occupied by the data, and to facilitating the online transfer.
出处 《信息通信》 2015年第4期5-7,共3页 Information & Communications
关键词 点云 PCL 八叉树 压缩 Point Cloud PCL Octree Compression
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  • 1霍光磊,赵立军,李瑞峰,王珂.基于激光传感器的室内环境点线特征识别方法[J].华中科技大学学报(自然科学版),2013,41(S1):171-174. 被引量:2
  • 2张明波,陆锋,申排伟,程昌秀.R树家族的演变和发展[J].计算机学报,2005,28(3):289-300. 被引量:95
  • 3李浩,杨金云.基于偏微分方程的医学图像去噪[J].微计算机信息,2006(09S):276-277. 被引量:5
  • 4曾庆军,黄惟一.虚拟现实中的传感器技术[J].传感器技术,1997,16(1):1-4. 被引量:4
  • 5ZHDANOV I N, KAPLIEV N N, POTAPOV A S, et al. Geo- metrical normalization of three-dimensional biomedical images for efficient presentation and compression by means of octrees [J]. J Opt Tech, 2012, 79( 11): 704-707. 被引量:1
  • 6KIM Y H, KO S L. Improvement of cutting simulation using the octree method [ J ]. Int J Adv Manuf Tech, 2006, 28(11-12): 1152- 1160. 被引量:1
  • 7ZHANG J H, OWEN C B. Octree-based animated geometry compre- ssion [ J ]. Comput Gragh-UK, 2007, 31 (3): 463-479. 被引量:1
  • 8KAMMERL J, BLODOW N, RUSU R B, et al. Real-time compression of point cloud streams[J]. 1EEE Int Conf Robot Autom, 2012, 48: 778-785. 被引量:1
  • 9SALERNO A, ZEPPETELLI S, MA10 E D, et al. Novel 3D porous multi-phase composite scaffolds based on PCL, thermoplastic zein and ha prepared via supercritical CO: foaming for bone regeneration [ J ]. Compos Sci Technol, 2010, 70(13): 1838-1846. 被引量:1
  • 10RUSU R B, COUSINS S. 3D is here: point cloud library (PCL) [J ]. IEEE Int Conf Robot Autom, 2011, 47( 10): 1-4. 被引量:1

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