| Presentation | 2009-09-25 Two-Dimensional Discriminant Supervised Neighborhood Embedding (2D-DSNE) For Face Recognition Ngo Truc HUNG, Yen-Wei CHEN, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Face recognition has become a very active and attractive research area in recent years due to its wide applications such as using as a password in computer, mobile telephone. In application, a realtime system is a big requirement for several systems, especially in embedded system that microprocessors are not very strong. For example, recognize a person through image from camera in mobile telephone that more and more popular nowadays. Several methods have been developed in recent years, and among various face recognition algorithms, one of the most successful techniques in realtime applications has been the appearance-based method. When using the appearance-based method, an image of size (m×n)-pixels by a vector in an (m×n) dimensional space is presented. In practice, however, these (m×n) dimensional spaces are too large to allow rapid and robust face recognition. A common attempt to solve this problem is through the use of dimensionality reduction techniques. For example, some of the most popular techniques can be used for this purpose including PCA, LDA, etc… However, there are a lot of drawbacks in these methods. We propose a novel algorithm, A Two-Dimensional Discriminant Supervised Neighborhood Embedding, which ensures two purposes: Rapidly process for using in some embedded systems (e.g. in mobile telephone microcontroller, video telephone) and robustly recognize for high recognition rate. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Face recognition / appearance-based method / PCA / 2D-PCA / LDA / 2D-LDA / LPP / 2D-SNE / 2D-DSNE |
| Paper # | MoMuC2009-33 |
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| Committee | MoMuC |
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| Conference Date | 2009/9/17(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Mobile Multimedia Communications(MoMuC) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Two-Dimensional Discriminant Supervised Neighborhood Embedding (2D-DSNE) For Face Recognition |
| Sub Title (in English) | |
| Keyword(1) | Face recognition |
| Keyword(2) | appearance-based method |
| Keyword(3) | PCA |
| Keyword(4) | 2D-PCA |
| Keyword(5) | LDA |
| Keyword(6) | 2D-LDA |
| Keyword(7) | LPP |
| Keyword(8) | 2D-SNE |
| Keyword(9) | 2D-DSNE |
| 1st Author's Name | Ngo Truc HUNG |
| 1st Author's Affiliation | Ritsumeikan University() |
| 2nd Author's Name | Yen-Wei CHEN |
| 2nd Author's Affiliation | Ritsumeikan University |
| Date | 2009-09-25 |
| Paper # | MoMuC2009-33 |
| Volume (vol) | vol.109 |
| Number (no) | 204 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |