Automatic Human Face Analysis and Description
Yomna Safaa El-Din Salah El-Din;
Abstract
This thesis presented a gender recognition framework using the fusion
of local-texture descriptors. The contributions of the thesis are
three-fold, firstly, a novel face-descriptor was introduced based on
SIFT features. Our second contribution is the u
of local-texture descriptors. The contributions of the thesis are
three-fold, firstly, a novel face-descriptor was introduced based on
SIFT features. Our second contribution is the u
Other data
| Title | Automatic Human Face Analysis and Description | Other Titles | التحليل والوصف الاتوماتيكى للوجوه الأدمية | Authors | Yomna Safaa El-Din Salah El-Din | Keywords | Automatic Human Face Analysis and Description | Issue Date | 2013 | Description | This thesis presented a gender recognition framework using the fusion of local-texture descriptors. The contributions of the thesis are three-fold, firstly, a novel face-descriptor was introduced based on SIFT features. Our second contribution is the u |
Attached Files
| File | Size | Format | |
|---|---|---|---|
| 115009Thesis_B5.pdf | 152.85 kB | Adobe PDF | View/Open |
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