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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Thomas, M. Kambhamettu, C. Kumar, S. |
| Copyright Year | 2008 |
| Description | Author affiliation: Bell Labs., Lucent Technol., Murray Hill, NJ (Kumar, S.) || Video/Image Modeling & Synthesis Lab., Univ. of Delaware, Newark, DE (Thomas, M.; Kambhamettu, C.) |
| Abstract | This paper delves into the problem of face recognition using color as an important cue in improving the accuracy of recognition. To perform recognition of color images, we use the characteristics of a 3D color tensor to generate a color LDA subspace, which in turn can be used to recognize a new probe image. To test the accuracy of our methodology, we computed the recognition rate across two color face databases. We observe that the use of the LDA color subspace significantly improves recognition accuracy over the standard gray scale approach without sacrificing computational efficiency. |
| Starting Page | 231 |
| Ending Page | 235 |
| File Size | 287701 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780769534404 |
| ISSN | 10823409 |
| DOI | 10.1109/ICTAI.2008.146 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-11-03 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Face recognition Linear discriminant analysis Character recognition Image recognition Color Tensile stress Character generation Probes Testing Image databases Color Space Linear Discriminant Analysis Face Recognition |
| Content Type | Text |
| Resource Type | Article |
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