NDLI: Object recognition using rotation invariant local binary pattern of significant bit planes

Content Provider	IET Digital Library
Author	Shang, Jun Chen, Chuanbo Liang, Hu Tang, He
Abstract	The binary feature descriptors such as binary robust independent elementary features (BRIEF), oriented rotated binary robust independent elementary features (ORB), and fast retina keypoint (FREAK) usually perform binarisation on the intensity comparisons, thus they lose some useful information. In this study, the authors propose an effective binary image descriptor which is called significant bit-planes-based local binary pattern for visual recognition. First, the authors divide an image into several sub regions according to the intensity orders to incorporate the spatial information. Then the authors extract the higher bit planes for all the sub regions and sort the adjacent neighbour bits based on the corresponding intensity orders, which make the descriptor invariant to rotation. In order to further improve the discriminative ability, the authors sample the multi-scale neighbours and average the adjacent pixels and extract the feature descriptor from the higher bit planes. Since the authors directly perform operation on the significant bit planes without quantisation, the authors decrease the information loss to some extent. The descriptor has demonstrated a better performance over the state-of-the-art binary descriptors as well as scale invariant feature transform on two recognition benchmarks (i.e. Kentucky and ETHZ) and PASCAL 2007 for image classification.
Starting Page	662
Ending Page	670
Page Count	9
ISSN	17519659
Volume Number	10
e-ISSN	17519667
Issue Number	Issue 9, Sep (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/10/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2016.0058
Journal	IET Image Processing
Publisher Date	2016-09-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Binary Feature Descriptor Extraction Binary Image Descriptor Computer Vision And Image Processing Technique Feature Extraction Image Classification Image Recognition Integral Transforms Object Recognition Rotation Invariant Local Binary Pattern Scale Invariant Feature Transform Significant Bit-Plane-based Local Binary Pattern Transform
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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