Rotation invariant co-occurrence among adjacent LBPs

Authors:
Ryusuke Nosaka;Chendra Hadi Suryanto;Kazuhiro Fukui
Affiliations:
Graduate School of Systems and Information Engineering, Department of Computer Science, University of Tsukuba, Japan;Graduate School of Systems and Information Engineering, Department of Computer Science, University of Tsukuba, Japan;Graduate School of Systems and Information Engineering, Department of Computer Science, University of Tsukuba, Japan
Venue:
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume Part I
Year:
2012

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Abstract

In this paper, we propose a new type of local binary pattern (LBP)-based feature, called Rotation Invariant Co-occurrence among adjacent LBPs (RIC-LBP), which simultaneously has characteristics of rotation invariance and a high descriptive ability. LBP was originally designed as a texture description for a local region, called a micropattern, and has been extended to various types of LBP-based features. In this paper, we focus on Co-occurrence among Adjacent LBPs (CoALBP). Our proposed feature is enabled by introducing the concept of rotation equivalence class to CoALBP. The validity of the proposed feature is clearly demonstrated through comparisons with various state-of-the-art LBP-based features in experiments using two public datasets, namely, the HEp-2 cell dataset and the UIUC texture database.