• Ashish D. Lonare
  • Shweta V. Jain


An interesting and one of the challenging problem for this decade is of the identification and detection of human facial expression from cluttered image sequence. In this paper we proposed a methodology of PHOG and LBP to identify facial expression from GEMEP-FERA dataset 2011 competition, a standard dataset. we compare the results of PHOG and LBP results. during results analysis it was found that by combining the features of PHOG and LBP we found improved results. For classification, we used the K-NN classifier. before this, a key frame were extracted by using the novel method. PHOG gives gradient features and LBP gives binary features by combining both features, we obtain improved results.


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How to Cite
Lonare, A. D., & Jain, S. V. (2015). COMBINED METHODOLOGY OF PHOG AND LBP TO IDENTIFY FACIAL EXPRESSION FROM VIDEOS. COMPUSOFT: An International Journal of Advanced Computer Technology, 3(7). Retrieved from