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Ordinal pyramid coding for rotation invariant feature extraction | |
Wang, Guoli1,2![]() ![]() ![]() | |
发表期刊 | NEUROCOMPUTING
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2017-06-14 | |
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 |
DOI | 10.1016/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 | 多模态人工智能系统全国重点实验室_先进时空数据分析与学习 |
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 |
第一作者单位 | 模式识别国家重点实验室 |
推荐引用方式 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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