Face Localization Using Illumination-dependent Face Model for Visual Speech Recognition
| Main Authors: | Robert E. Hursig, Jane X. Zhang |
|---|---|
| Format: | Article eJournal |
| Bahasa: | eng |
| Terbitan: |
, 2010
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/1085285 |
Daftar Isi:
- A robust still image face localization algorithm capable of operating in an unconstrained visual environment is proposed. First, construction of a robust skin classifier within a shifted HSV color space is described. Then various filtering operations are performed to better isolate face candidates and mitigate the effect of substantial non-skin regions. Finally, a novel Bhattacharyya-based face detection algorithm is used to compare candidate regions of interest with a unique illumination-dependent face model probability distribution function approximation. Experimental results show a 90% face detection success rate despite the demands of the visually noisy environment.