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Title: Local gradient increasing pattern for facial expression recognition
Authors: Zhou, Lubing
Wang, Han
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2012
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.
DOI: 10.1109/ICIP.2012.6467431
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Conference Papers

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