Facial feature extraction from a video sequence using independent component analysis (ICA)

Kyung-Yung Choi Kyung-Yung Choi,K Takaya

doi:10.1109/pacrim.2001.953572

Facial feature extraction from a video sequence using independent component analysis (ICA)

Kyung-Yung Choi Kyung-Yung Choi, K Takaya

https://doi.org/10.1109/pacrim.2001.953572

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Publication Date: Aug 26, 2001

Citations: 7

Affiliation: University of Saskatchewan

#Facial Feature Extraction #Method Of Independent Component Analysis + Show 8 more

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Abstract

This paper presents methods for face localization and facial feature extraction from a video image sequence to aid in constructing a 3D face model for animation, a newly added feature in MPEG-4. Face localization is achieved by using human skin color filtering in YCbCr subspace with other relevant facial information. The method of independent component analysis (ICA) is applied to the localized facial images to identify main facial components such as eyes and mouth in the video sequence.

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