Abstract
The extraction of facial features is a fundamental and crucial step in most face detection and recognition systems. Here a set of approaches are proposed for extracting internal and external facial features in a gray-level images containing single or multiple faces of various sizes, at different locations without any restriction on the background. These approaches are distinctive in several aspects: the use of some rarely exploited photometric properties as the basis of facial features extraction, a novel metrics on radial symmetry of gradient orientations, and an inhibitory mechanism for extracting internal facial features and a simple mechanism for external ones.
Original language | English (US) |
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Pages (from-to) | 2079-2101 |
Number of pages | 23 |
Journal | Pattern Recognition |
Volume | 29 |
Issue number | 12 |
DOIs | |
State | Published - Dec 1996 |
Keywords
- Bright blobs
- Dark blobs
- Dual-mask operators
- Inhibitory mechanism
- Symmetry of gradient orientations
ASJC Scopus subject areas
- Software
- Signal Processing
- Computer Vision and Pattern Recognition
- Artificial Intelligence