Integrated Approach to Recognition of Macro & Micro Expressions from Facial Images.

Date of Submission

December 2017

Date of Award

Winter 12-12-2018

Institute Name (Publisher)

Indian Statistical Institute

Document Type

Master's Dissertation

Degree Name

Master of Technology

Subject Name

Computer Science

Department

Electronics and Communication Sciences Unit (ECSU-Kolkata)

Supervisor

Mukherjee, Dipti Prasad (ECSU-Kolkata; ISI)

Abstract (Summary of the Work)

We present a computer based approach which recognizes emotional facial expressions along with subtle micro expressions. Our system captures live video streams and recognizes both macro and micro expression at the same time. This procedure integrates the task where a set of frames is classified whether it contains micro expressions or macro expressions at first. Afterwards corresponding micro or macro expressions are further classified to its type. We have introduced Motion Magnification using Eulerian Video Magnification method to magnify subtle local motions that helps identifying types of micro expression. We have done extensive experiments on two publicly available data sets CK+ containing videos of posed macro expressions and CASME II containing videos of posed micro expressions. Using variants of LBP features such as Uniform LBP and Rotation Invariant LBP feature dimension is reduced by 80% compared to normal LBP based features that leads to reduction of response time and increases computational efficiency and results in effective classifier performance.

Comments

ProQuest Collection ID: http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:28843061

Control Number

ISI-DISS-2017-273

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

DOI

http://dspace.isical.ac.in:8080/jspui/handle/10263/6847

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