This study compares LBP and Gabor-wavelet filters for accuracy in facial expression recognition, highlighting LBP's effectiveness.
This studycompared the technique such as Gabor-wavelet filter banks and Local Binary Patterns (LBP) that were commonly used for facial expression recognition.Broad experimental phases were designed to analyze the accuracy and efficiency of each state of art techniques regarding facial expression recognition. A close analysis of the Receiver Operating Characteristics (ROC) and overall accuracy of the results for well-known facial databasesrevealedthat the LBPbased extraction of facial expression features was the most efficient and effective technique.
No takes yet. Share an insight, caveat, or question.
Butt et al. (2016) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: