Presentation	2009-10-08 Camera Tracking Using LLAH for Document Based Augmented Reality Applications Hideaki UCHIYAMA, Hideo SAITO,
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Abstract(in English)	In this paper, we propose a method for text document tracking based on on-line learning of the local arrangement of keypoints using LLAH. Locally Likely Arrangement Hashing (LLAH) is a keypoint retrieval method by indexing local arrangement of neighbor keypoints for document image retrieval. Since LLAH is available in case of nearly top view, we extend LLAH to free viewpoint tracking by learning the behavior of keypoint arrangement. Our method starts document tracking from a top view. If the new patterns of keypoints appear while moving the camera, the database of local arrangement is incrementally updated to reflect these new patterns. Thanks to the update, our system can detect the document over a large range of viewpoints.
Keyword(in Japanese)	(See Japanese page)
Keyword(in English)	Tracking / Registration / LLAH / Augmented Reality
Paper #	MVE2009-39
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Conference Information
Committee	MVE
Conference Date	2009/10/1(1days)
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Paper Information
Registration To	Media Experience and Virtual Environment (MVE)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Camera Tracking Using LLAH for Document Based Augmented Reality Applications
Sub Title (in English)
Keyword(1)	Tracking
Keyword(2)	Registration
Keyword(3)	LLAH
Keyword(4)	Augmented Reality
1st Author's Name	Hideaki UCHIYAMA
1st Author's Affiliation	Keio University()
2nd Author's Name	Hideo SAITO
2nd Author's Affiliation	Keio University
Date	2009-10-08
Paper #	MVE2009-39
Volume (vol)	vol.109
Number (no)	215
Page	pp.pp.-
#Pages	6
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