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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ionita, M.C. Corcoran, P. Bacivarov, I. |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Elecronic Engineering, National University of Ireland, Galway, Ireland (Ionita, M.C.; Corcoran, P.; Bacivarov, I.) |
| Abstract | In this paper we consider how next generation smart cameras will move beyond face detection and tracking to develop more useful analysis tools for determining the expression and emotions of the subjects in images. An initial proof-of-concept using an Active Appearance Model (AAM) to perform face recognition which is robust to pose and illumination variations is presented. Our initial results are very encouraging and suggest that the incorporation of a specialized AAM within next generation digital cameras will enable more accurate management and sorting of personal image collections based on the actual persons in the images. |
| Starting Page | 1 |
| Ending Page | 2 |
| File Size | 302209 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781424447015 |
| DOI | 10.1109/ICCE.2009.5012361 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-01-10 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Smart cameras Robustness Image recognition Active appearance model Face detection Image analysis Face recognition Lighting Digital cameras Sorting |
| Content Type | Text |
| Resource Type | Article |
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