A Novel Algorithm for View and Illumination Invariant Image Matching
文献类型：期刊论文
| 作者 | Yu, Yinan; Huang, Kaiqi ; Chen, Wei; Tan, Tieniu
|
| 刊名 | IEEE TRANSACTIONS ON IMAGE PROCESSING
 |
| 出版日期 | 2012 |
| 卷号 | 21期号:1页码:229-240 |
| 关键词 | Feature detector evaluation image matching valid angle (VA) valid illumination (VI) |
| 英文摘要 | The challenges in local-feature-based image matching are variations of view and illumination. Many methods have been recently proposed to address these problems by using invariant feature detectors and distinctive descriptors. However, the matching performance is still unstable and inaccurate, particularly when large variation in view or illumination occurs. In this paper, we propose a view and illumination invariant image-matching method. We iteratively estimate the relationship of the relative view and illumination of the images, transform the view of one image to the other, and normalize their illumination for accurate matching. Our method does not aim to increase the invariance of the detector but to improve the accuracy, stability, and reliability of the matching results. The performance of matching is significantly improved and is not affected by the changes of view and illumination in a valid range. The proposed method would fail when the initial view and illumination method fails, which gives us a new sight to evaluate the traditional detectors. We propose two novel indicators for detector evaluation, namely, valid angle and valid illumination, which reflect the maximum allowable change in view and illumination, respectively. Extensive experimental results show that our method improves the traditional detector significantly, even in large variations, and the two indicators are much more distinctive. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
| 研究领域[WOS] | Computer Science ; Engineering |
| 关键词[WOS] | INTEREST POINT DETECTORS ; FEATURES |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000298325500019 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3793]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 作者单位 | Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yu, Yinan,Huang, Kaiqi,Chen, Wei,et al. A Novel Algorithm for View and Illumination Invariant Image Matching[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2012,21(1):229-240. |
| APA | Yu, Yinan,Huang, Kaiqi,Chen, Wei,&Tan, Tieniu.(2012).A Novel Algorithm for View and Illumination Invariant Image Matching.IEEE TRANSACTIONS ON IMAGE PROCESSING,21(1),229-240. |
| MLA | Yu, Yinan,et al."A Novel Algorithm for View and Illumination Invariant Image Matching".IEEE TRANSACTIONS ON IMAGE PROCESSING 21.1(2012):229-240. |
入库方式： OAI收割
来源：自动化研究所
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