Image Projective Invariants
文献类型：期刊论文
| 作者 | Li, Erbo4; Mo, Hanlin2,3; Xu, Dong1; Li, Hua2,3 |
| 刊名 | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
 |
| 出版日期 | 2019-05-01 |
| 卷号 | 41期号:5页码:1144-1157 |
| 关键词 | 2D projective transformation relative projective differential invariant projective weighted moment invariant planar object recognition |
| ISSN号 | 0162-8828 |
| DOI | 10.1109/TPAMI.2018.2832060 |
| 英文摘要 | In this paper, we have proved the existence of projective moment invariants of images using finite combinations of weighted moments, with relative projective differential invariants as weight functions. We have given some instances constructed in that way, and analyzed possible issues could affect the performance. Some procedures are taken to estimate partial derivatives of discrete images, and a new method is designed to normalize the number of pixels for discrete images to minimize the changes before and after the projective transformation. We have carried out experiments using popular image databases and real images to test the performance. And the results show that the invariants proposed in this paper have better stability and discriminability than other previously used moment invariants in image retrieval and classification. Users can directly extract invariant features of images for a given planar object from different viewpoints without knowing the parameters of the 2D projective transformations. Therefore, the projective moment invariant could be potentially useful for planar object recognition, image description and classification. |
| 资助项目 | National Natural Science Foundation of China[60873164] ; National Natural Science Foundation of China[61227802] ; National Natural Science Foundation of China[61379082] |
| WOS研究方向 | Computer Science ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000463607400009 |
| 出版者 | IEEE COMPUTER SOC |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/4271]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Mo, Hanlin |
| 作者单位 | 1.Ambry Genet, Aliso Viejo, CA 92656 USA 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China 4.EON Real Inc, Irvine, CA 92618 USA |
| 推荐引用方式 GB/T 7714 | Li, Erbo,Mo, Hanlin,Xu, Dong,et al. Image Projective Invariants[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,2019,41(5):1144-1157. |
| APA | Li, Erbo,Mo, Hanlin,Xu, Dong,&Li, Hua.(2019).Image Projective Invariants.IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,41(5),1144-1157. |
| MLA | Li, Erbo,et al."Image Projective Invariants".IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 41.5(2019):1144-1157. |
入库方式： OAI收割
来源：计算技术研究所
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