Local gradient increasing pattern for facial expression recognition
Author
Zhou, Lubing
Wang, Han
Date of Issue
2012Conference Name
IEEE International Conference on Image Processing (19th : 2012 : Orlando, Florida, US)
School
School of Electrical and Electronic Engineering
Abstract
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.
Subject
DRNTU::Engineering::Electrical and electronic engineering
Type
Conference Paper
Collections
http://dx.doi.org/10.1109/ICIP.2012.6467431
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