Local binary pattern descriptors for dynamic texture recognition

被引：0
|
作者：
Zhao, Guoying [1 ]
Pietikainen, Matti [1 ]
机构：
[1] Oulu Univ, Infotech Oulu, Machine Vis Grp, POB 4500, FI-90014 Oulu, Finland
来源：
18TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 2, PROCEEDINGS | 2006年
基金：
芬兰科学院;
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Dynamic texture is an extension of texture to the temporal domain. In this paper, a new method for recognizing dynamic textures is proposed The textures are modeled with concatenated local binary patterns in three orthonormal planes. The circular neighborhoods are generalized to elliptical sampling to fit to the space-time statistics. This is an extension of the LBP approach widely used in still texture analysis, combining the motion and appearance together. Our approach has many advantages compared with the earlier approaches providing a better performance for the DynTex and MIT databases.
引用
收藏
页码：211 / +
页数：2
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