[1]王爱丽,胡长雨,韩闯. 基于ORB 特征的复杂场景下的增强现实[J].哈尔滨理工大学学报,2018,(02):23-28.[doi:10. 15938 /j. jhust. 2018. 02. 005]
 WANG Ai-li,HU Chang-yu,HAN Chuang. ORB-feature Based Augmented Reality under Complex Scenes[J].哈尔滨理工大学学报,2018,(02):23-28.[doi:10. 15938 /j. jhust. 2018. 02. 005]
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 基于ORB 特征的复杂场景下的增强现实()
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《哈尔滨理工大学学报》[ISSN:1007-2683/CN:23-1404/N]

卷:
期数:
2018年02期
页码:
23-28
栏目:
材料科学与工程
出版日期:
2018-02-25

文章信息/Info

Title:
 ORB-feature Based Augmented Reality under Complex Scenes
文章编号:
1007- 2683( 2018) 02- 0023- 06
作者:
 王爱丽 胡长雨 韩闯
 ( 哈尔滨理工大学测控技术与通信工程学院,黑龙江哈尔滨150080)
Author(s):
 WANG Ai-li HU Chang-yu HAN Chuang
 ( School of Measure-control Technology and Communication Engineering,Harbin University of Science and Technology,Harbin 150080,China)
关键词:
 增强现实 即时定位与建图 随机抽样一致
Keywords:
 augmented reality simultaneous localization and mapping random sample consensus
分类号:
TP391. 9
DOI:
10. 15938 /j. jhust. 2018. 02. 005
文献标志码:
A
摘要:
 : 针对增强现实开发工具ARtoolkit 利用特定编码的卡片来获取目标,并且利用标记卡
片角点来推算出相机的空间位置,准确率不高,有严格的观测角度限制,且不能在复杂场景使用的
问题。在采用即时定位与地图构建和随机抽样一致算法的基础上,研究了如何将利用即时空间定
位算法准确的计算出相机的外参和图像序列ORB 特征点的空间坐标集,并利用随机抽样一致和
poster 帧得到二维感兴趣区域特征点坐标集,实现了感兴趣区域的空间坐标定位。实验结果表明,
该算法解决了标记卡片以及观测角度限制,提高了相机位置的准确率,提高程度达90%。为后期
渲染3D 目标实现增强现实提供了有力的保障。
Abstract:
 Aiming to the development tools for Augmented Reality,ARtoolkit,and to obtain a particular coding
region of interest,Marker Cards and the corner feature are used to calculate the position of the camera. But the
accuracy rate is low,and viewing angle and scenes are stirctly limited. Based on the simultaneous localization and
mapping and random sample consensus algorithm,this paper studies how to use instant space location algorithm to
accurately calculate the spatial coordinates of camera external parameters and image sequence ORB( oriented fast
and rotated brief) feature point set. Then random sampling and poster frame are used to obtain two dimensional
coordinates of region of interest to locate. For these restrictions,a new method is proposed in this paper by
integrating SLAM and RANSAC to obtain a particular coding region of interest and calculate the position of the
camera. Experiments show that the method can solve the limitation of viewing angle and scenes and improve the
accuracy of calculate the position of the camera. The degree of improvement is up to 90%,providing a strong
guarantee render 3D augmented reality

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更新日期/Last Update: 2018-06-30