Kişiselleştirilmiş yüz jest örüntü lerinin kestirimi

Translated title of the contribution: Estimation of personalized facial gesture patterns

Ferda Ofli, Engin Erzin, Yücel Yemez, A. Murat Tekalp

Research output: Chapter in Book/Report/Conference proceedingConference contribution


We propose a framework for estimation and analysis of temporal facial expression patterns of a speaker. The goal of this framework is to learn the personalized elementary dynamic facial expression patterns for a particular speaker. We track lip, eyebrow, and eyelid of the speaker in 3D across a head-andshoulder stereo video sequence. We use MPEG-4 Facial Definition Parameters (FDPs) to create the feature set, and MPEG4 Facial Animation Parameters (FAPs) to represent the temporal facial expression patterns. Hidden Markov Model (HMM) based unsupervised temporal segmentation of upper and lower facial expression features is performed separately to determine recurrent elementary facial expression patterns for the particular speaker. These facial expression patterns, which are coded by FAP sequences and may not be tied with prespecified emotions, can be used for personalized emotion estimation and synthesis of a speaker. Experimental results are presented.

Original languageUndefined/Unknown
Title of host publication2007 IEEE 15th Signal Processing and Communications Applications, SIU
Publication statusPublished - 1 Dec 2007
Externally publishedYes
Event2007 IEEE 15th Signal Processing and Communications Applications, SIU - Eskisehir, Turkey
Duration: 11 Jun 200713 Jun 2007




ASJC Scopus subject areas

  • Computer Networks and Communications
  • Communication
  • Signal Processing

Cite this

Ofli, F., Erzin, E., Yemez, Y., & Tekalp, A. M. (2007). Kişiselleştirilmiş yüz jest örüntü lerinin kestirimi. In 2007 IEEE 15th Signal Processing and Communications Applications, SIU [4298615]