Real-time SLAM relocalization with online learning of binary feature indexing
文献类型：期刊论文
| 作者 | Feng, Youji1,2; Wu, Yihong2 ; Fan, Lixin3
|
| 刊名 | MACHINE VISION AND APPLICATIONS
 |
| 出版日期 | 2017-11-01 |
| 卷号 | 28期号:8页码:953-963 |
| 关键词 | Slam Relocalization Binary Feature Indexing Approximate Nearest Neighbor Search |
| DOI | 10.1007/s00138-017-0873-z |
| 文献子类 | Article |
| 英文摘要 | A visual simultaneous localization and mapping (SLAM) system usually contains a relocalization module to recover the camera pose after tracking failure. The core of this module is to establish correspondences between map points and key points in the image, which is typically achieved by local image feature matching. Since recently emerged binary features have orders of magnitudes higher extraction speed than traditional features such as scale invariant feature transform, they can be applied to develop a real-time relocalization module once an efficient method of binary feature matching is provided. In this paper, we propose such a method by indexing binary features with hashing. Being different from the popular locality sensitive hashing, the proposed method constructs the hash keys by an online learning process instead of pure randomness. Specifically, the hash keys are trained with the aim of attaining uniform hash buckets and high collision rates of matched feature pairs, which makes the method more efficient on approximate nearest neighbor search. By distributing the online learning into the simultaneous localization and mapping process, we successfully apply the method to SLAM relocalization. Experiments show that camera poses can be recovered in real time even when there are tens of thousands of landmarks in the map. |
| WOS研究方向 | Computer Science ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000413677000009 |
| 资助机构 | National High Technology Research and Development Program(2015AA0 20504) ; National Natural Science Foundation of China(61572499 ; Nokia Research(LF14011659182) ; 61421004) |
| 源URL | [http://ir.ia.ac.cn/handle/173211/20746]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_机器人视觉团队 |
| 作者单位 | 1.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China 3.Nokia Technol, Tampere, Finland |
| 推荐引用方式 GB/T 7714 | Feng, Youji,Wu, Yihong,Fan, Lixin. Real-time SLAM relocalization with online learning of binary feature indexing[J]. MACHINE VISION AND APPLICATIONS,2017,28(8):953-963. |
| APA | Feng, Youji,Wu, Yihong,&Fan, Lixin.(2017).Real-time SLAM relocalization with online learning of binary feature indexing.MACHINE VISION AND APPLICATIONS,28(8),953-963. |
| MLA | Feng, Youji,et al."Real-time SLAM relocalization with online learning of binary feature indexing".MACHINE VISION AND APPLICATIONS 28.8(2017):953-963. |
入库方式： OAI收割
来源：自动化研究所
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