Communication target object recognition for D2D connection with feature size limit

Jiheon Ok, Soochang Kim, Young Hoon Kim, Chulhee Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Recently, a new concept of device-to-device (D2D) communication, which is called "point-and-link communication" has attracted great attentions due to its intuitive and simple operation. This approach enables user to communicate with target devices without any pre-identification information such as SSIDs, MAC addresses by selecting the target image displayed on the user's own device. In this paper, we present an efficient object matching algorithm that can be applied to look(point)-and-link communications for mobile services. Due to the limited channel bandwidth and low computational power of mobile terminals, the matching algorithm should satisfy low-complexity, low-memory and realtime requirements. To meet these requirements, we propose fast and robust feature extraction by considering the descriptor size and processing time. The proposed algorithm utilizes a HSV color histogram, SIFT (Scale Invariant Feature Transform) features and object aspect ratios. To reduce the descriptor size under 300 bytes, a limited number of SIFT key points were chosen as feature points and histograms were binarized while maintaining required performance. Experimental results show the robustness and the efficiency of the proposed algorithm.

Original languageEnglish
Title of host publicationProceedings of SPIE-IS and T Electronic Imaging - Mobile Devices and Multimedia
Subtitle of host publicationEnabling Technologies, Algorithms, and Applications 2015
PublisherSPIE
Volume9411
ISBN (Electronic)9781628415018
DOIs
Publication statusPublished - 2015 Jan 1
EventMobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications 2015 - San Francisco, United States
Duration: 2015 Feb 102015 Feb 11

Other

OtherMobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications 2015
CountryUnited States
CitySan Francisco
Period15/2/1015/2/11

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Ok, J., Kim, S., Kim, Y. H., & Lee, C. (2015). Communication target object recognition for D2D connection with feature size limit. In Proceedings of SPIE-IS and T Electronic Imaging - Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications 2015 (Vol. 9411). [94110B] SPIE. https://doi.org/10.1117/12.2083321