A new interaction method for augmented reality based on ARToolKit

Huibai Wang, Junli Qin, Fengquan Zhang
{"title":"A new interaction method for augmented reality based on ARToolKit","authors":"Huibai Wang, Junli Qin, Fengquan Zhang","doi":"10.1109/CISP.2015.7407945","DOIUrl":null,"url":null,"abstract":"In this paper, we implement a new interaction method for the application of augmented reality using ARToolKit and OpenCV SDK. First, on the basis of the exiting marker-based tracking system, this paper achieved the multi-marker tracking that solved the tracking failure problem when the single marker is partially occluded, which greatly improves the robustness of the registration algorithm. In addition, Codebook-based foreground detection model is used to detect the hand region under an unexpected background environment. Moreover, we could recognize the hand gesture by convex hull on the basis of the hand contour. Therefore, a gesture recognition algorithm is presented based on codebook model algorithm and convex hull algorithm for the interaction. In the end, we use several different experiments to show the performance, which can be seen the good interactivity and realistic.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 8th International Congress on Image and Signal Processing (CISP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISP.2015.7407945","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

In this paper, we implement a new interaction method for the application of augmented reality using ARToolKit and OpenCV SDK. First, on the basis of the exiting marker-based tracking system, this paper achieved the multi-marker tracking that solved the tracking failure problem when the single marker is partially occluded, which greatly improves the robustness of the registration algorithm. In addition, Codebook-based foreground detection model is used to detect the hand region under an unexpected background environment. Moreover, we could recognize the hand gesture by convex hull on the basis of the hand contour. Therefore, a gesture recognition algorithm is presented based on codebook model algorithm and convex hull algorithm for the interaction. In the end, we use several different experiments to show the performance, which can be seen the good interactivity and realistic.
基于ARToolKit的增强现实交互新方法
本文利用ARToolKit和OpenCV SDK实现了一种新的增强现实应用交互方法。首先,本文在现有的基于标记的跟踪系统的基础上,实现了多标记跟踪,解决了单个标记部分遮挡时的跟踪失败问题,极大地提高了配准算法的鲁棒性。此外,利用基于codebook的前景检测模型,在意外背景环境下检测手部区域。此外,我们还可以在手部轮廓的基础上利用凸包进行手势识别。为此,提出了一种基于码本模型算法和凸包算法的手势识别算法。最后,我们用几个不同的实验来展示性能,可以看出良好的交互性和真实感。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信