Processing speed improvement on SFM using panoramic images based on camera direction constraints

Yuichiro Yamaguchi, Yoshiki Sasaki, Masafumi Nakagawa

Research output: Contribution to conferencePaper

Abstract

Point clouds are generated with structure from motion (SfM) and laser scanning for 3D modeling of objects and ground surfaces. Although SfM is a lower cost approach than laser scanning, SfM requires plenty of time for image acquisition from various positions and angles. When many images are used for dense point cloud generation, the image processing cost increase nonlinearly. Thus, SfM holds two technical issues such as image acquisition cost and image processing cost. Therefore, we firstly focused on the use of low-price omni-directional camera to improve image acquisition cost. We secondary focused on the efficiency improvement in image matching procedures in SfM processing based on camera direction constraints. We select stereo pairs to reduce processing time based on bundle constraints with image matching lists prepared in advance. We conducted experiments using panoramic images to evaluate our methodology. Through the experiments, we confirmed that our methodology can improve the efficiency of image acquisition cost and image matching processing cost.

Original languageEnglish
Publication statusPublished - 2020 Jan 1
Event40th Asian Conference on Remote Sensing: Progress of Remote Sensing Technology for Smart Future, ACRS 2019 - Daejeon, Korea, Republic of
Duration: 2019 Oct 142019 Oct 18

Conference

Conference40th Asian Conference on Remote Sensing: Progress of Remote Sensing Technology for Smart Future, ACRS 2019
CountryKorea, Republic of
CityDaejeon
Period19/10/1419/10/18

Keywords

  • BIM
  • Omni-directional Camera
  • Structure from Motion

ASJC Scopus subject areas

  • Information Systems

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  • Cite this

    Yamaguchi, Y., Sasaki, Y., & Nakagawa, M. (2020). Processing speed improvement on SFM using panoramic images based on camera direction constraints. Paper presented at 40th Asian Conference on Remote Sensing: Progress of Remote Sensing Technology for Smart Future, ACRS 2019, Daejeon, Korea, Republic of.