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This paper presents a novel descriptor named Region based Extensive ResponseIndex Pattern (RETRaIN) for facial expression recognition. The RETRaIN encodesthe relation among the reference and neighboring pixels of facial activeregions. These relations are computed by using directional compass mask on aninput image and extract the high edge responses in foremost directions. Furtherextreme edge index positions are selected and encoded into six-bit compact codeto reduce feature dimensionality and distinguish between the uniform andnon-uniform patterns in the facial features. The performance of the proposeddescriptor is tested and evaluated on three benchmark datasets Extended CohnKanade, JAFFE, and MUG. The RETRaIN achieves superior recognition accuracy incomparison to state-of-the-art techniques.

Region Based Extensive Response Index Pattern for Facial Expression Recognition