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Ordinal pyramid coding for rotation invariant feature extraction
Wang, Guoli1,2; Fan, Bin1; Zhou, Zhili3,4; Pan, Chunhong1
Source PublicationNEUROCOMPUTING
2017-06-14
Volume242Issue:242Pages:150-160
SubtypeArticle
AbstractThis 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.
KeywordRotation Invariant Ordinal Pyramid Pooling Fisher Vector Feature Extraction
WOS HeadingsScience & Technology ; Technology
DOI10.1016/j.neucom.2017.02.071
WOS KeywordREMOTE-SENSING IMAGES ; SCENE CLASSIFICATION ; OBJECT DETECTION ; REPRESENTATION ; RECOGNITION ; EFFICIENT ; NETWORKS ; MODEL ; DEEP ; HOG
Indexed BySCI
Language英语
Funding OrganizationNational 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 Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000399859500013
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/14524
Collection空天信息研究中心
Affiliation1.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
Recommended Citation
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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