Integrated face and facial components detection
This paper presents an algorithm that detects faces and facial features (eyes, nose and mouth) on images captured by CCTV system under various imaging conditions, such as variation in poses, scale, illumination and occlusion. The system detects face, nose and mouth using three different classifiers,...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2015
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| Online Access: | http://psasir.upm.edu.my/id/eprint/14337/1/Integrated%20face%20and%20facial%20components%20detection.pdf http://psasir.upm.edu.my/id/eprint/14337/ |
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| Institution: | Universiti Putra Malaysia |
| Language: | English |