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FGR
2008
IEEE

Multi-attribute robust facial feature localization

9 years 4 months ago
Multi-attribute robust facial feature localization
In this paper, we focus on the reliable detection of facial fiducial points, such as eye, eyebrow and mouth corners. The proposed algorithm aims to improve automatic landmarking performance in challenging realistic face scenarios subject to pose variations, high-valence facial expressions and occlusions. We explore the potential of several feature modalities, namely, Gabor Wavelets, Independent Component Analysis (ICA), Non-negative Matrix Factorization (NMF), and Discrete Cosine Transform (DCT), both singly and jointly. We show that the selection of the highest scoring face patch as the corresponding landmark is not always the best, but that there is considerable room for improvement with the cooperation among several high scoring candidates and also using a graph-based post-processing method. We present our experimental results on Bosphorus Face database, a new challenging database.
Oya Çeliktutan, Hatice Cinar Akakin, Bü
Added 29 May 2010
Updated 29 May 2010
Type Conference
Year 2008
Where FGR
Authors Oya Çeliktutan, Hatice Cinar Akakin, Bülent Sankur
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