Local gradient increasing pattern for facial expression recognition
Date of Issue2012
IEEE International Conference on Image Processing (19th : 2012 : Orlando, Florida, US)
School of Electrical and Electronic Engineering
This paper presents a new facial descriptor for facial expression recognition based on the Local Gradient Increasing Pattern (LGIP). A LGIP feature is to encode the intensity increasing trends in eight directions at each pixel using eight binary bits, and then a decimal code is assigned to describe the over-all increasing trend. The facial descriptor is generated from grid-based regional LGIP histograms. Subsequently, Support Vector Machine classifier is used for multi-class expression classification. Extensive experiments using Cohn-Kanade and Jaffe databases show that the LGIP based descriptor outperforms other related algorithms.
DRNTU::Engineering::Electrical and electronic engineering