Mobile Visual Recognition on Smartphones
Joint Authors
Wang, Yongtian
Liu, Yue
Gui, Zhenwen
Chen, Jing
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-19
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
This paper addresses the recognition of large-scale outdoor scenes on smartphones by fusing outputs of inertial sensors and computer vision techniques.
The main contributions can be summarized as follows.
Firstly, we propose an ORD (overlap region divide) method to plot image position area, which is fast enough to find the nearest visiting area and can also reduce the search range compared with the traditional approaches.
Secondly, the vocabulary tree-based approach is improved by introducing GAGCC (gravity-aligned geometric consistency constraint).
Our method involves no operation in the high-dimensional feature space and does not assume a global transform between a pair of images.
Thus, it substantially reduces the computational complexity and memory usage, which makes the city scale image recognition feasible on the smartphone.
Experiments on a collected database including 0.16 million images show that the proposed method demonstrates excellent recognition performance, while maintaining the average recognition time about 1 s.
American Psychological Association (APA)
Gui, Zhenwen& Wang, Yongtian& Liu, Yue& Chen, Jing. 2013. Mobile Visual Recognition on Smartphones. Journal of Sensors،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-502739
Modern Language Association (MLA)
Gui, Zhenwen…[et al.]. Mobile Visual Recognition on Smartphones. Journal of Sensors No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-502739
American Medical Association (AMA)
Gui, Zhenwen& Wang, Yongtian& Liu, Yue& Chen, Jing. Mobile Visual Recognition on Smartphones. Journal of Sensors. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-502739
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-502739