| Presentation | 1995/9/29 Evaluation of the Image Recognition Abi1ity of Integral Features with Random Templates Yasuhide MORI, Akito SAKURAI, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | An integral feature is the sum of local features over an image. We developed the integral feature that uses randomly generated templates to extract the 1ocal features. A random template set is easily generated and its size is adjustable. Experimental results shows that the random template set has almost the same recognition ability as the complete set of second- and lower-order autocorrelation templates proposed earlier. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | image recognition / feature extraction / integral / randomness / higher-order correlation / filter |
| Paper # | PRU95-133 |
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| Conference Information | |
| Committee | PRU |
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| Conference Date | 1995/9/29(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Vice Chair | |
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| Paper Information | |
| Registration To | Pattern Recognition and Understanding (PRU) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Evaluation of the Image Recognition Abi1ity of Integral Features with Random Templates |
| Sub Title (in English) | |
| Keyword(1) | image recognition |
| Keyword(2) | feature extraction |
| Keyword(3) | integral |
| Keyword(4) | randomness |
| Keyword(5) | higher-order correlation |
| Keyword(6) | filter |
| 1st Author's Name | Yasuhide MORI |
| 1st Author's Affiliation | Advanced Research Laboratory, Hitachi Ltd.() |
| 2nd Author's Name | Akito SAKURAI |
| 2nd Author's Affiliation | Advanced Research Laboratory, Hitachi Ltd. |
| Date | 1995/9/29 |
| Paper # | PRU95-133 |
| Volume (vol) | vol.95 |
| Number (no) | 279 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |