THE TRIPLET MEASURED BY AERIAL CAMERA USING LINE SEGMENTS LINE MATCHING-BASED RELATIVE ORIENTATION USING TRIPLET CAMERA

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

1 Citation (Scopus)

Abstract

In urgent observations after disasters, we can mention that the image matching processing is an essential technique to establish more stable and rapid 3D data generation. Particularly, multi-images taken from various viewpoints are useful in the disaster monitoring. Thus, feature and corresponded point detection would be designed for a multi-image matching. Recently, Structure from Motion (SfM) is often applied to generate 3D data. The SfM is useful approach to generate 3D data from images of random viewpoints. However, Scale-Invariant Feature Transform (SIFT) requires a plenty of time to detect feature points and corresponded points from multi-images. Therefore, we proposed a methodology to improve triplet matching and SfM with line segments extracted from images. Moreover, we evaluated our methodology using multi-images taken from aerial triplet camera.

Original languageEnglish
Title of host publicationInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
EditorsTakashi Fuse, M. Nakagawa
PublisherInternational Society for Photogrammetry and Remote Sensing
Pages217-222
Number of pages6
Edition4W5
ISBN (Electronic)9780000000002, 9781629934297, 9781629935126, 9781629935201
DOIs
Publication statusPublished - 2015 May 11
EventISPRS WG IV/7 and WG V/4 Joint Workshop on Indoor-Outdoor Seamless Modelling, Mapping and Navigation - Tokyo, Japan
Duration: 2015 May 212015 May 22

Publication series

NameInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Number4W5
Volume40
ISSN (Print)1682-1750

Other

OtherISPRS WG IV/7 and WG V/4 Joint Workshop on Indoor-Outdoor Seamless Modelling, Mapping and Navigation
CountryJapan
CityTokyo
Period15/5/2115/5/22

Keywords

  • Line matching
  • Photogrammetry
  • SIFT
  • Triplet camera

ASJC Scopus subject areas

  • Information Systems
  • Geography, Planning and Development

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