Mobile Augmented Reality using Scalable Recognition and Tracking

被引：0

作者：

Ha, Jaewon ^{[1
]}

Jung, Jinki ^{[1
]}

Han, ByungOk ^{[1
]}

Cho, Kyusung ^{[1
]}

Yang, Hyun S. ^{[1
]}

机构：

[1] Korea Adv Inst Sci & Technol, Dept Comp Sci, Taejon, South Korea

来源：

2011 IEEE VIRTUAL REALITY CONFERENCE (VR) | 2011年

关键词：

Augmented Reality; Tracking;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a new mobile Augmented Reality (AR) framework which is scalable to the number of objects being augmented is proposed. The scalability is achieved by a visual word recognition module on the remote server and a mobile phone which detects, tracks, and augments target objects with the received information from the server. The server and the mobile phone are connected through a conventional Wi-Fi. In the experiment, it takes 0.2 seconds for the cold start of an AR service initiation on a 10k object database, which is fairly acceptable in a real-world AR application.

引用

页码：211 / 212

页数：2

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