NDLI: Quantitative intensity analysis of facial expressions using HMM and linear regression

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Quantitative intensity analysis of facial expressions using HMM and linear regression

Content Provider	ACM Digital Library
Author	Xiao, Shuangjiu Wu, Jing
Abstract	In this paper, an automatic framework of facial expression analysis focusing on quantitative intensity illustration is proposed. Quantitative intensity variation could be extracted during the whole period of facial expressions, from neutral state to apex state. The logic behind this paper lies in the intensity differences of same prototype expression, and lies that these intensity differences could be illustrated by facial expression energy variation throughout expression. In order to unify video data with different frame numbers, Hidden Markov Models (HMMs) are applied to every video for classification and expression states generation. These expressions states extracted from each video showing same expression have the same length. Then given facial landmarks of key positions, energy value of each state could be demonstrated by placements of landmarks. By synthesizing states variation and energy value, intensity curves for each expression could be obtained using linear regression algorithm. In this work, we explore person-dependent and person-independent analysis of expressions, in person-dependent experiment quantitative intensity compare is tested for expression 'Happiness'.
Starting Page	247
Ending Page	250
Page Count	4
File Format	PDF
ISBN	9781450332545
DOI	10.1145/2670473.2670501
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-11-30
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Linear regression Hmm Facial expression analysis Facial expression intensity
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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