Presentation | 1998/9/18 Object Recognition for Multi Images and Multi Resolutions Using Higher-order Local Autocorrelation Features Ikushi YODA, Katsuhiko SAKAUE, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | To attain smooth human interaction, we propose a system which simultaneously utilizes the stereo disparity and optical flow information of real-time stereo gray multi resolution images to recognize objects and signs. In this system, attention regions are recognized by higher-order local autocorrelation features and a linear discriminant analysis. However this method is a view based method, the system learned only front images of the objects and communicated with users. Therefore, we added cameras on the right and left side and realize more robust and exact object recognitions. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | multi resolution images / multi images / higher-order local autocorrelation features / human interface |
Paper # | PRMU98-84 |
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Committee | PRMU |
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Conference Date | 1998/9/18(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Object Recognition for Multi Images and Multi Resolutions Using Higher-order Local Autocorrelation Features |
Sub Title (in English) | |
Keyword(1) | multi resolution images |
Keyword(2) | multi images |
Keyword(3) | higher-order local autocorrelation features |
Keyword(4) | human interface |
1st Author's Name | Ikushi YODA |
1st Author's Affiliation | Electrotechical Laboratory() |
2nd Author's Name | Katsuhiko SAKAUE |
2nd Author's Affiliation | Electrotechical Laboratory |
Date | 1998/9/18 |
Paper # | PRMU98-84 |
Volume (vol) | vol.98 |
Number (no) | 275 |
Page | pp.pp.- |
#Pages | 7 |
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