[1]李玥,丁友东.并行正向反馈ICP算法研究[J].计算机技术与发展,2013,(11):6-9.
　LI Yue,DING You-dong.Research of Positive Feedback ICP Algorithm in Parallel[J].,2013,(11):6-9.
点击复制

并行正向反馈ICP算法研究()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2013年11期
页码:
6-9
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Research of Positive Feedback ICP Algorithm in Parallel
文章编号:
1673-629X（2013）11-0006-04
作者:
李玥; 丁友东
上海大学
Author(s):
LI Yue; DING You-dong
关键词:
迭代最近点; 增强现实; GPU; 正向反馈; 并行计算
Keywords:
ICP; augmented reality; GPU; positive feedback; parallel computing
文献标志码:
A
摘要:
ICP算法用于点云对齐,对点云质量有很高的要求,Kinect设备采集的原始点云较为粗糙,给ICP计算带来很大不便。文中设计了一种并行正向反馈ICP算法,将新旧点云带权叠加,以优化新点云的质量,并提供给ICP的下一次循环,同时又采用一种基于GPU的并行二叉树约减算法,提高计算速度。该算法用于增强现实的注册环节,运行结果流畅稳定。这种改进算法增加了深度数据的可用性和稳定性
Abstract:
The ICP algorithm,which was utilized to align points clouds,had to use high quality points clouds. The points clouds,captured by Kinect,was too rough to be utilized. A positive feedback ICP algorithm in parallel was introduced in this paper. It added current point clouds with the last point clouds,to optimize the quality of point clouds. Then the point clouds could be provided into the next ICP turn. And used GPU to calculate matrixes,so that the time was saved. This algorithm was fast and steady when used into augmented reality, which augmented the liability and stability of depth data

相似文献/References:

[1]李利军 杨西平.基于标识与自然纹理特征的三维注册方法研究[J].计算机技术与发展,2007,(07):77.
　LI Li-jun,YANG Xi-ping.3D Registration Method Based on Marker and Natural Texture Feature[J].,2007,(11):77.
[2]程委 廖学军 李智[].增强现实及其军事应用研究[J].计算机技术与发展,2007,(12):165.
　CHENG Wei,LIAO Xue-jun,LI Zhi.Study on Augmented Reality and Its Military Application[J].,2007,(11):165.
[3]乔阳 秦锋 程泽凯 王伟 王殿君.未知环境下移动机器人地图构建仿真研究[J].计算机技术与发展,2012,(07):33.
　QIAO Yang,QIN Feng,CHENG Ze-kai,et al.Research on Simulation of Mobile Robot Mapping under Unknown Environment[J].,2012,(11):33.
[4]邹优嘉.移动设备增强现实技术与书本交互的应用[J].计算机技术与发展,2013,(08):227.
　ZOU You-jia.Application of Mobile Augment Reality Technology Interacted with Books[J].,2013,(11):227.
[5]宋燕燕,曹效业,周灵. 移动增强现实技术在互动展示中的应用研究[J].计算机技术与发展,2016,26(09):83.
　SONG Yan-yan,CAO Xiao-ye,ZHOU Ling. Research on Application of Mobile AR Technology in Product Interaction Exhibition[J].,2016,26(11):83.
[6]毛立平,孙刘杰,王文举,等.基于增强现实的钢铁生产线可视化仿真系统[J].计算机技术与发展,2021,31(05):157.[doi:10. 3969 / j. issn. 1673-629X. 2021. 05. 027]
　,,et al.ＶｉｓｕａｌＳｉｍｕｌａｔｉｏｎＳｙｓｔｅｍ ｏｆＳｔｅｅｌＰｒｏｄｕｃｔｉｏｎＬｉｎｅＢａｓｅｄｏｎＡｕｇｍｅｎｔｅｄＲｅａｌｉｔｙ[J].,2021,31(11):157.[doi:10. 3969 / j. issn. 1673-629X. 2021. 05. 027]
[7]宋根龙,田 彤,陈 轩,等.基于人脸关键特征的眼镜增强匹配算法[J].计算机技术与发展,2022,32(04):181.[doi:10. 3969 / j. issn. 1673-629X. 2022. 04. 031]
　SONG Gen-long,TIAN Tong,CHEN Xuan,et al.Glasses Augmented Matching Algorithm Based on Key Features of Facial Detection[J].,2022,32(11):181.[doi:10. 3969 / j. issn. 1673-629X. 2022. 04. 031]
[8]宋燕燕.基于 ARCore 的移动增强现实应用系统设计[J].计算机技术与发展,2022,32(07):196.[doi:10. 3969 / j. issn. 1673-629X. 2022. 07. 034]
　SONG Yan-yan.Design of Mobile Augmented Reality System Based on ARCore[J].,2022,32(11):196.[doi:10. 3969 / j. issn. 1673-629X. 2022. 07. 034]
[9]贾一鑫,邓魏永,殷 强,等.基于改进 SURF 的增强现实图像匹配方法[J].计算机技术与发展,2024,34(01):59.[doi:10. 3969 / j. issn. 1673-629X. 2024. 01. 009]
　JIA Yi-xin,DENG Wei-yong,YIN Qiang,et al.Augmented Reality Image Matching Method Based on Improved SURF[J].,2024,34(11):59.[doi:10. 3969 / j. issn. 1673-629X. 2024. 01. 009]

更新日期/Last Update: 1900-01-01