Multi-stream gaussian mixture model based facial feature localization=Çoklu gauss karışım modeli tabanlı yüz öznitelikleri bulma algoritması

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Kumatani, Kenichi and Ekenel, Hazım K. and Gao, Hua and Stiefelhagen, Rainer and Erçil, Aytül (2008) Multi-stream gaussian mixture model based facial feature localization=Çoklu gauss karışım modeli tabanlı yüz öznitelikleri bulma algoritması. In: IEEE 16th Signal Processing, Communication and Applications Conference, 2008. SIU 2008., Aydın, Turkey

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Abstract

This paper presents a new facial feature localization system which estimates positions of eyes, nose and mouth corners simultaneously. In contrast to conventional systems, we use the multi-stream Gaussian mixture model (GMM) framework in order to represent structural and appearance information of facial features. We construct a GMM for the region of each facial feature, where the principal component analysis is used to extract each facial feature. We also build a GMM which represents the structural information of a face, relative positions of facial features. Those models are combined based on the multi-stream framework. It can reduce the computation time to search region of interest (ROI). We demonstrate the effectiveness of our algorithm through experiments on the BioID Face Database.
Item Type: Papers in Conference Proceedings
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Electronics
Depositing User: Aytül Erçil
Date Deposited: 10 Apr 2009 17:17
Last Modified: 26 Apr 2022 08:50
URI: https://research.sabanciuniv.edu/id/eprint/11455

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