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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Manjunath, B.S. Chellappa, R. von der Malsburg, C. |
| Copyright Year | 1992 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA (Manjunath, B.S.) |
| Abstract | A feature-based approach to face recognition in which the features are derived from the intensity data without assuming any knowledge of the face structure is presented. The feature extraction model is biologically motivated, and the locations of the features often correspond to salient facial features such as the eyes, nose, etc. Topological graphs are used to represent relations between features, and a simple deterministic graph-matching scheme that exploits the basic structure is used to recognize familiar faces from a database. Each of the stages in the system can be fully implemented in parallel to achieve real-time recognition. Experimental results for a 128*128 image with very little noise are evaluated.< |
| Starting Page | 373 |
| Ending Page | 378 |
| File Size | 553283 |
| Page Count | 6 |
| File Format | |
| ISBN | 0818628553 |
| ISSN | 10636919 |
| DOI | 10.1109/CVPR.1992.223162 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1992-06-15 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Face recognition Face detection Humans Eyes Biological system modeling Nose Spatial databases Visual databases Visual system Mouth |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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