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• W3144436719 abstract "Facial expressions are one of the most effective ways for non-verbal 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 from 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." @default.
• W3144436719 created "2021-04-13" @default.
• W3144436719 creator A5045405768 @default.
• W3144436719 creator A5061038315 @default.
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• W3144436719 date "2021-04-05" @default.
• W3144436719 modified "2023-09-27" @default.
• W3144436719 title "Automatic Micro-Expression Apex Frame Spotting using Local Binary Pattern from Six Intersection Planes." @default.
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• W3144436719 hasPublicationYear "2021" @default.
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