Dynamic Stitching Algorithm for 4-channel Surround View System using SIFT Features

SIFT 특징점을 이용한 4채널 서라운드 시스템의 동적 영상 정합 알고리즘

  • Joongjin Kook (Dept. of Information Security Engineering, Sangmyung University) ;
  • Daewoong Kang (Dept. of Electronic Information System Engineering, Sangmyung University)
  • 국중진 (상명대학교 정보보안공학과) ;
  • 강대웅 (상명대학교 전자정보시스템공학과)
  • Received : 2024.02.09
  • Accepted : 2024.03.20
  • Published : 2024.03.31

Abstract

In this paper, we propose a SIFT feature-based dynamic stitching algorithm for image calibration and correction of a 360-degree surround view system. The existing surround view system requires a lot of processing time and money because in the process of image calibration and correction. The traditional marker patterns are placed around the vehicle and correction is performed manually. Therefore, in this study, images captured with four fisheye cameras mounted on the surround view system were distorted and then matched with the same feature points in adjacent images through SIFT-based feature point extraction to enable image stitching without a fixed marker pattern.

Keywords

Acknowledgement

This research was funded by a 2023 research Grant from Sangmyung University.

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