Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/101782
Title: | Local gradient increasing pattern for facial expression recognition | Authors: | Zhou, Lubing Wang, Han |
Keywords: | DRNTU::Engineering::Electrical and electronic engineering | Issue Date: | 2012 | Conference: | IEEE International Conference on Image Processing (19th : 2012 : Orlando, Florida, US) | 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. | URI: | https://hdl.handle.net/10356/101782 http://hdl.handle.net/10220/12971 |
DOI: | 10.1109/ICIP.2012.6467431 | Schools: | School of Electrical and Electronic Engineering | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | EEE Conference Papers |
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