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Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions.

Authors :
Zhao, Guoying
Pietikàinen, Matti
Source :
IEEE Transactions on Pattern Analysis & Machine Intelligence; Jun2007, Vol. 29 Issue 6, p915-928, 14p, 11 Diagrams, 7 Charts, 4 Graphs
Publication Year :
2007

Abstract

Dynamic texture (DT) is an extension of texture to the temporal domain. Description and recognition of DT5 have attracted growing attention. In this paper, a novel approach for recognizing DTs is proposed and its simplifications and extensions to facial image analysis are also considered. First, the textures are modeled with volume local binary patterns (VLBP), which are an extension of the LBP operator widely used in ordinary texture analysis, combining motion and appearance. To make the approach computationally simple and easy to extend, only the co-occurrences of the local binary patterns on three orthogonal planes (LBP-TOP) are then considered. A block-based method is also proposed to deal with specific dynamic events such as facial expressions in which local information and its spatial locations should also be taken into account. In experiments with two DT databases, DynTex and Massachusetts Institute of Technology (MIT), both the VLBP and LBP-TOP clearly outperformed the earlier approaches. The proposed block-based method was evaluated with the Cohn-Kanade facial expression database with excellent results. The advantages of our approach include local processing, robustness to monotonic gray-scale changes, and simple computation. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01628828
Volume :
29
Issue :
6
Database :
Complementary Index
Journal :
IEEE Transactions on Pattern Analysis & Machine Intelligence
Publication Type :
Academic Journal
Accession number :
25089667
Full Text :
https://doi.org/10.1109/TPAMI.2007.1110