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Paper Abstract and Keywords
Presentation 2005-01-20 11:30
Camera Position and Posture Estimation from Image Sequence Using Feature Landmark Database
Motoko Oe, Tomokazu Sato, Naokazu Yokoya (NAIST)
Abstract (in Japanese) (See Japanese page) 
(in English) Camera position and posture estimation from image sequence can be applied to the fields of augmented reality and robot navigation. In these fields, to obtain absolute position and posture of the camera, methods using GPS and magentic sensors, and methods using input images from the camera have been investigated. However, methods using sensors are difficult to synchronize the camera and sensors accurately, and usable environments are limited according to selection of sensors. On the other hand, methods using input images of a camera needs to allocate many artificial markers otherwise an estimation error will accumulate. Thus, it is difficult to use in large and natural environments.
In this research, we propose a camera position and posture estimation method for large environments, which does not require sensors and artificial markers by detecting natural feature points from image sequence taken beforehand and using them as landmarks.
Keyword (in Japanese) (See Japanese page) 
(in English) camera position and posture estimation / natural features / landmark database / augmented reality / / / /  
Reference Info. IEICE Tech. Rep., vol. 104, no. 572, PRMU2004-157, pp. 19-24, Jan. 2005.
Paper # PRMU2004-157 
Date of Issue 2005-01-13 (PRMU) 
ISSN Print edition: ISSN 0913-5685
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Conference Information
Committee PRMU  
Conference Date 2005-01-20 - 2005-01-21 
Place (in Japanese) (See Japanese page) 
Place (in English)  
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Paper Information
Registration To PRMU 
Conference Code 2005-01-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Camera Position and Posture Estimation from Image Sequence Using Feature Landmark Database 
Sub Title (in English)  
Keyword(1) camera position and posture estimation  
Keyword(2) natural features  
Keyword(3) landmark database  
Keyword(4) augmented reality  
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1st Author's Name Motoko Oe  
1st Author's Affiliation Nara Institute of Science and Technology (NAIST)
2nd Author's Name Tomokazu Sato  
2nd Author's Affiliation Nara Institute of Science and Technology (NAIST)
3rd Author's Name Naokazu Yokoya  
3rd Author's Affiliation Nara Institute of Science and Technology (NAIST)
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Speaker Author-1 
Date Time 2005-01-20 11:30:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2004-157 
Volume (vol) vol.104 
Number (no) no.572 
Page pp.19-24 
#Pages
Date of Issue 2005-01-13 (PRMU) 


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