Face localization for facial features extraction using a symmetrical filter and linear Hough transform
In this paper, face localization for facial feature extraction is presented. The method consists of three steps: (1) facial features enhancement using symmetrical filter, and then the morphological process is applied to examine the edge, peaks, and valley fields; (2) line construction using linear H...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Springer
2008
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/25627/ https://doi.org/10.1007/s10015-007-0459-3 |
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| Summary: | In this paper, face localization for facial feature extraction is presented. The method consists of three steps: (1) facial features enhancement using symmetrical filter, and then the morphological process is applied to examine the edge, peaks, and valley fields; (2) line construction using linear Hough transform; (3) localization of the face region based on the constructed lines and the elimination of excess areas outside the face boundary. © 2008 International Symposium on Artificial Life and Robotics (ISAROB). |
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