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Panoramic Image Stitching Using Feature Extracting and Matching on Embedded System

  • Lee, June-Hwan (Department of Smart & Photovoltaic Convergence, Far East University)
  • Received : 2017.07.20
  • Accepted : 2017.07.26
  • Published : 2017.10.25

Abstract

Recently, one of the areas where research is being actively conducted is the Internet of Things (IoT). The field of using the Internet of Things system is increasing, coupled with a remarkable increase of the use of the camera. However, general cameras used in the Internet of Things have limited viewing angles as compared to those available to the human eye. Also, cameras restrict observation of objects and the performance of observation. Therefore, in this paper, we propose a panoramic image stitching method using feature extraction and matching based on an embedded system. After extracting the feature of the image, the speed of image stitching is improved by reducing the amount of computation using the necessary information so that it can be used in the embedded system. Experimental results show that it is possible to improve the speed of feature matching and panoramic image stitching while generating a smooth image.

Keywords

References

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