Fourth IEEE and ACM International Symposium on Mixed and Augmented Reality (ISMAR'05) 2005
DOI: 10.1109/ismar.2005.32
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Face to face collaborative AR on mobile phones

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Cited by 198 publications
(97 citation statements)
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“…This report is basically based on the application that is to be introduced which will be a mobile application that intends to provide wealthier experiences by overlying words or virtual objects over the scene observed through a camera. The mobile application is a real time visual translator for Bahasa language to English that will be embedded on mobile phones [10]- [12].…”
Section: A Mobile Learningmentioning
confidence: 99%
“…This report is basically based on the application that is to be introduced which will be a mobile application that intends to provide wealthier experiences by overlying words or virtual objects over the scene observed through a camera. The mobile application is a real time visual translator for Bahasa language to English that will be embedded on mobile phones [10]- [12].…”
Section: A Mobile Learningmentioning
confidence: 99%
“…On the other hand, there exist examples of non wearable systems such as the face to face application developed by Henrysson et al [11] called AR Tennis, which is based on fiducial markers to carry out the tracking.…”
Section: Mobile Collaborative Augmented Realitymentioning
confidence: 99%
“…Smartphones are fully featured high-end mobile phones featuring PDA capabilities, so that applications for data-processing and connectivity can be installed on them. Rashid et al [30], Wagner et al [25], Henrysson et al [22], Olwal et al [17] utilize them as final mobile AR displays. They are also often used in conjunction with a stationary server, as in the case of Rauhala et al [48], where a notebook PC was also used as an intermediate central data processing unit.…”
Section: Smartphonementioning
confidence: 99%
“…While many passive fiducial-based tracking implementations for AR exist, none can match the ubiquity of the freely available ARToolkit system. Tamura et al [28], Billinghurst et al [35], Wagner et al [25], Newman et al [46], Henrysson et al [22], Cheok et al [27], Barakonyi et al [33] and Goose et al [15] have employed various versions of ARToolkit in the range of mobile devices that are covered in Section 2.1. Makri et al [49] have employed their own visual marker-based tracking methods on mobile AR systems.…”
Section: Visual Marker-based Trackingmentioning
confidence: 99%
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