Probabilistic Voting for Sequence Based Visual Place Recognition | |
Xin, Zhe1,2; Cai, Yinghao2; Zhang, Jixiang2; Yang, Yiping2; Wang, Yanqing2 | |
2018 | |
会议日期 | August 20-24, 2018 |
会议地点 | Beijing, China |
英文摘要 | Visual place recognition is the task of recognizing the query image in a set of dataset images. It is a challenging problem in computer vision due to frequent and unpredictable environmental changes. In this paper, a novel approach is proposed for visual place recognition. We consider the problem of visual place recognition as a probabilistic voting problem on coherent image sequences. According to the co-visibility relationship of images in the dataset, each query can be represented by a categorical variable. Therefore, the whole sequence is the distribution of several independent and non-identical categorical variables. Introducing the probabilistic framework not only removes the need for heuristic parameters but also recognizes location efficiently and effectively. Two widely used datasets are used to evaluate the performance of the proposed method. The probabilistic voting algorithm achieves superior performance compared with state-of-the-art methods and satisfies the real-time requirement. |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/39241] |
专题 | 综合信息系统研究中心_视知觉融合及其应用 |
通讯作者 | Zhang, Jixiang |
作者单位 | 1.University of Chinese Academy of Sciences, Beijing, China 2.Institute of Automation, Chinese Academy of Sciences, Beijing, China |
推荐引用方式 GB/T 7714 | Xin, Zhe,Cai, Yinghao,Zhang, Jixiang,et al. Probabilistic Voting for Sequence Based Visual Place Recognition[C]. 见:. Beijing, China. August 20-24, 2018. |
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