NDLI: An efficient and robust rotation invariant descriptor

Content Provider	IEEE Xplore Digital Library
Author	Xi, Dongmiao Sun, Yankui Miao, Jinghua Wang, Yongge
Copyright Year	2015
Description	Author affiliation: School of Mathematics and Systems Science, Beihang University, Beijing, China (Xi, Dongmiao; Wang, Yongge) \|\| Department of Computer Science and Technology, Tsinghua University, Beijing, China (Sun, Yankui; Miao, Jinghua)
Abstract	A novel scheme to calculate feature descriptors with rotation invariance was proposed in this paper. Unlike traditional methods of computing feature orientations and descriptors using a single sampling pattern, we calculate the orientation of a feature point with one sampling pattern and generate its descriptor with another one. Based on this idea, we present a method to generate a rotation invariant descriptor using the sampling patterns of FREAK and BRIEF. The experimental results on image matching show that our method is not only invariant to image rotation but also robust to many other situations such as image blur, viewpoint change, illumination change and JEPG compression. At the same time, the proposed method performs competitively with BRISK and FREAK in computational time.
Starting Page	584
Ending Page	588
File Size	1259932
Page Count	5
File Format	PDF
e-ISBN	9781467390989
DOI	10.1109/CISP.2015.7407946
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	rotation invariance Image coding Image matching feature descriptor Lighting Signal processing algorithms Detectors sampling pattern Feature extraction Robustness
Content Type	Text
Resource Type	Article

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