BB-Homography: Joint Binary Features and Bipartite Graph Matching for Homography Estimation
文献类型：期刊论文
| 作者 | Liu, Shaoguo1; Wang, Haibo2; Wei, Yiyi1; Pan, Chunhong1
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| 刊名 | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
 |
| 出版日期 | 2015-02-01 |
| 卷号 | 25期号:2页码:239-250 |
| 关键词 | BB-Homography binary feature descriptor graph matching (GM) homography sparse spectral GM |
| 英文摘要 | Homography estimation is a fundamental problem in the field of computer vision. For estimating the homography between two images, one of the key issues is to match keypoints in the reference image to the keypoints in the moving image. To match keypoints in real time, a binary image descriptor, due to its low matching and storage costs, emerges as a more and more popular tool. Upon achieving the low costs, the binary descriptor sacrifices the discriminative power of using floating points. In this paper, we present BB-Homography, a new approach that fuses fast binary descriptor matching and bipartite graph for homography estimation. Starting with binary descriptor matching, BB-Homography uses bipartite graph matching (GM) algorithm to refine the matching results, which are finally passed over to estimate homography. On realizing the correlation between keypoint correspondence and homography estimation, BB-Homography iteratively performs the GM and the homography estimation such that they can refine each other at each iteration. In particular, based on spectral graph, a fast bipartite GM algorithm is developed for lowering the time cost of BB-Homography. BB-Homography is extensively evaluated on both public benchmarks and live-captured video streams that consistently shows that BB-Homography outperforms conventional methods for homography estimation. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Engineering, Electrical & Electronic |
| 研究领域[WOS] | Engineering |
| 关键词[WOS] | DESCRIPTORS |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000349624000006 |
| 公开日期 | 2015-09-22 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/8060]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_遥感图像处理团队 |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, IGIT Grp, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 2.Shandong Univ, Sch Control Sci & Engn, Robot Ctr, Jinan 250100, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Shaoguo,Wang, Haibo,Wei, Yiyi,et al. BB-Homography: Joint Binary Features and Bipartite Graph Matching for Homography Estimation[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2015,25(2):239-250. |
| APA | Liu, Shaoguo,Wang, Haibo,Wei, Yiyi,&Pan, Chunhong.(2015).BB-Homography: Joint Binary Features and Bipartite Graph Matching for Homography Estimation.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,25(2),239-250. |
| MLA | Liu, Shaoguo,et al."BB-Homography: Joint Binary Features and Bipartite Graph Matching for Homography Estimation".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 25.2(2015):239-250. |
入库方式： OAI收割
来源：自动化研究所
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