| Paper Abstract and Keywords |
| Presentation |
2004-12-17 10:30
Parametric eigenspace method with sparsely distributed multiple cameras
Hidenori Tanaka (Keio Univ.), Itaru Kitahara (ATR), Hideo Saito (Keio Univ.), Hiroshi Murase (Nagoya Univ.), Kiyoshi Kogure, Norihiro Hagita (ATR) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In this paper, we propose a learning method of parametric eigenspace using sparsely distributed multiple cameras. Personal identification is one of the most important purposes to install video sensors to the ubiquitous computing environment. However, when the sensor is actually used in the real world, we cannot always capture the desired appearance information, because it is not possible to completely control target objects (e.g. pedestrians). To tackle with this problem, we automatically interpolate the object’s appearances which are captured by sparsely distributed multiple cameras through a cylindrical 3D model, and generate an initial eigenspace with them. When a new image is captured, an interpolated image which is the most similar in the eigenspace to the input image is replaced. Repeating this procedure, we can reconstruct the eigenspace with the new data set. Experimental results show that the discernment capability of the initial eigenspace is improved by repeating the updating process. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
approximation 3D model / parametric eigenspace method / learning / view interpolation / multiple videos / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 104, no. 524, PRMU2004-137, pp. 19-24, Dec. 2004. |
| Paper # |
PRMU2004-137 |
| Date of Issue |
2004-12-10 (PRMU) |
| ISSN |
Print edition: ISSN 0913-5685 |
| Download PDF |
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| Conference Information |
| Committee |
PRMU |
| Conference Date |
2004-12-16 - 2004-12-17 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
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| Topics (in Japanese) |
(See Japanese page) |
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| Paper Information |
| Registration To |
PRMU |
| Conference Code |
2004-12-PRMU |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Parametric eigenspace method with sparsely distributed multiple cameras |
| Sub Title (in English) |
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| Keyword(1) |
approximation 3D model |
| Keyword(2) |
parametric eigenspace method |
| Keyword(3) |
learning |
| Keyword(4) |
view interpolation |
| Keyword(5) |
multiple videos |
| Keyword(6) |
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| 1st Author's Name |
Hidenori Tanaka |
| 1st Author's Affiliation |
Keio University (Keio Univ.) |
| 2nd Author's Name |
Itaru Kitahara |
| 2nd Author's Affiliation |
ATR (ATR) |
| 3rd Author's Name |
Hideo Saito |
| 3rd Author's Affiliation |
Keio University (Keio Univ.) |
| 4th Author's Name |
Hiroshi Murase |
| 4th Author's Affiliation |
Nagoya University (Nagoya Univ.) |
| 5th Author's Name |
Kiyoshi Kogure |
| 5th Author's Affiliation |
ATR (ATR) |
| 6th Author's Name |
Norihiro Hagita |
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ATR (ATR) |
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| Speaker |
Author-1 |
| Date Time |
2004-12-17 10:30:00 |
| Presentation Time |
30 minutes |
| Registration for |
PRMU |
| Paper # |
PRMU2004-137 |
| Volume (vol) |
vol.104 |
| Number (no) |
no.524 |
| Page |
pp.19-24 |
| #Pages |
6 |
| Date of Issue |
2004-12-10 (PRMU) |
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