The 11th Iranian and the first International Conference on Machine Vision and Image Processing

Automatic Micro-Expression Apex Frame Spotting Using Local Binary Pattern from Six Intersection Planes

Vida Esmaeili, Mahmood Mohassel Feghhi, Seyed Omid Shahdi
The 11th Iranian and the first International Conference on Machine Vision and Image Processing (MVIP 2020)

Abstract

Facial expressions are one of the most effective ways for nonverbal communications, which can be expressed as the Micro-Expression (ME) in the high-stake situations. The MEs are involuntary, rapid, and, subtle, and they can reveal real human intentions. However, their feature extraction is very challenging due to their low intensity and very short duration. Although Local Binary Pattern on Three Orthogonal Plane (LBP-TOP) feature extractor is useful for the ME analysis, it does not consider essential information. To address this problem, we propose a new feature extractor called Local Binary Pattern from Six Intersection Planes (LBP-SIPl). This method extracts LBP code on six intersection planes, and then it combines them. Results show that the proposed method has superior performance in apex frame spotting automatically in comparison with the relevant methods on the CASME database. Simulation results show that, using the proposed method, the apex frame has been spotted in 43% of subjects in the CASME database, automatically. Also, the mean absolute error of 1.76 is achieved, using our novel proposed method.

Keywords: Apex Frame Spotting, Local Binary Pattern, Mean Absolute Error, Micro Expression



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