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Cited by 580

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Virtual object manipulation on a table-top AR environment

Kato, H., Billinghurst, M., Poupyrev, I., Imamoto, K., Tachibana, K.·2002·Proceedings IEEE and ACM International Symposium on Augmented Reality (ISAR 2000)

Abstract

We address the problems of virtual object interaction and user tracking in a table-top augmented reality (AR) interface. In this setting there is a need for very accurate tracking and registration techniques and an intuitive and useful interface. This is especially true in AR interfaces for supporting face to face collaboration where users need to be able to easily cooperate with each other. We describe an accurate vision-based tracking method for table-top AR environments and tangible user interface (TUI) techniques based on this method that allow users to manipulate virtual objects in a natural and intuitive manner. Our approach is robust, allowing users to cover some of the tracking markers while still returning camera viewpoint information, overcoming one of the limitations of traditional computer vision based systems. After describing this technique we describe its use in prototype AR applications.

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Metadata

Authors
Kato, H., Billinghurst, M., Poupyrev, I., Imamoto, K., & Tachibana, K.
Venue
Proceedings IEEE and ACM International Symposium on Augmented Reality (ISAR 2000)
Publisher
IEEE
Published
2002-11-07
Pages
111-119
OpenAlex
W2114261446
Cited by
580
References
9
FWCI
27.85
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Virtual object manipulation on a table-top AR environment. https://app.cochat.ai/papers/10.1109/isar.2000.880934
The paper
Kato, H., Billinghurst, M., Poupyrev, I., Imamoto, K., & Tachibana, K. (2002). Virtual object manipulation on a table-top AR environment. Proceedings IEEE and ACM International Symposium on Augmented Reality (ISAR 2000). https://doi.org/10.1109/isar.2000.880934

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.