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Ordinal pyramid coding for rotation invariant feature extraction
Wang, Guoli1,2; Fan, Bin1; Zhou, Zhili3,4; Pan, Chunhong1
2017-06-14
发表期刊NEUROCOMPUTING
卷号242期号:242页码:150-160
文章类型Article
摘要This paper proposes a novel rotation invariant feature for object recognition. Firstly, the local Fourier transform features of pixels in the described region are encoded by Fisher Vectors. Then, the encoded vectors are aggregated into a final representation by ordinal pyramid pooling, which hierarchically partitions the described region into sub-regions based on the orders of its pixels' rotation invariants. Since both the encoded Fisher Vectors and the ordinal pyramid pooling strategy are rotation invariant, the extracted feature is rotation invariant by nature. Two kinds of rotation invariants are investigated in this framework, one is the Radial Gradient Orientation and the other is the Radial Gradient Angle. Experiments on handwritten digit recognition and airplane/car detection in aerial images demonstrate the effectiveness of the proposed method, which outperforms the state of the art. (C) 2017 Elsevier B.V. All rights reserved.
关键词Rotation Invariant Ordinal Pyramid Pooling Fisher Vector Feature Extraction
WOS标题词Science & Technology ; Technology
DOI10.1016/j.neucom.2017.02.071
关键词[WOS]REMOTE-SENSING IMAGES ; SCENE CLASSIFICATION ; OBJECT DETECTION ; REPRESENTATION ; RECOGNITION ; EFFICIENT ; NETWORKS ; MODEL ; DEEP ; HOG
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(61403375 ; Priority Academic Program Development of Jiangsu Higher Education Institutions ; Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology ; 61472119 ; 61573352 ; 91338202)
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000399859500013
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/14524
专题空天信息研究中心
作者单位1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, 95 Zhong Guan Cun East Rd, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 101408, Peoples R China
3.Nanjing Univ Informat Sci & Technol, Jiangsu Engn Ctr Network Monitoring, Nanjing 210044, Jiangsu, Peoples R China
4.Nanjing Univ Informat Sci & Technol, Sch Comp & Software, Nanjing 210044, Jiangsu, Peoples R China
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GB/T 7714
Wang, Guoli,Fan, Bin,Zhou, Zhili,et al. Ordinal pyramid coding for rotation invariant feature extraction[J]. NEUROCOMPUTING,2017,242(242):150-160.
APA Wang, Guoli,Fan, Bin,Zhou, Zhili,&Pan, Chunhong.(2017).Ordinal pyramid coding for rotation invariant feature extraction.NEUROCOMPUTING,242(242),150-160.
MLA Wang, Guoli,et al."Ordinal pyramid coding for rotation invariant feature extraction".NEUROCOMPUTING 242.242(2017):150-160.
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