Efficient image retrieval based mobile indoor localization

Yitong Wang, Qingyi Tao, Jianfei Cai, Lingyu Duan

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

1 Citation (Scopus)

Abstract

Vision based localization has been investigated for many years. The existing Structure from Motion (SfM) technique can reconstruct the 3D models based on the input images. The image retrieval and feature matching allow us to find the correspondence between the query image and the 3D model. According to these, the location can be easily calculated. In mobile scenarios, the limited CPU speed, memory storage and network latency bring in new challenges. The state-of-the-art solution can not be easily adopted due to the complicated calculation and large resource consumption. In this paper, we leverage the techniques developed during the MPEG-7 Compact Descriptors for Visual Search (CDVS) standardization, which aims to provide high performance and low complexity compact descriptors. We show that these techniques are suitable for mobile device and can achieve state-of-the-art retrieval performance in indoor environment. Besides, we propose additional components including blur measurement and result smoothing to improve the performance of the location calculation process. Based on these techniques, a whole system which enables fast vision based localization on mobile device is developed. We present experiments on the real world situation, showing that the system can strike a balance between accuracy and efficiency.

Original languageEnglish
Title of host publication2015 Visual Communications and Image Processing (VCIP 2015)
EditorsDan Schonfeld, Junsong Yuan
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages61-64
Number of pages4
ISBN (Electronic)9781467373142, 9781467373135
ISBN (Print)9781467373159
DOIs
Publication statusPublished - 2015
Externally publishedYes
EventIEEE Visual Communications and Image Processing 2015 - Nanyang Technological University, Singapore, Singapore
Duration: 13 Dec 201516 Dec 2015
https://web.archive.org/web/20150829071627/http://vcip2015.org/home.html

Conference

ConferenceIEEE Visual Communications and Image Processing 2015
Abbreviated titleVCIP 2015
CountrySingapore
CitySingapore
Period13/12/1516/12/15
Internet address

Keywords

  • Compact Descriptors
  • Feature Matching
  • Image Retrieval
  • Indoor Localization
  • Point Cloud

Cite this