Marker-less AR system based on line segment feature

Yusuke Nakayama, Hideo Saito, Masayoshi Shimizu, Nobuyasu Yamaguchi

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

3 Citations (Scopus)


We propose a method of marker-less AR which uses line segment feature. Estimating camera poses is important part of AR system. In most of conventional marker-less AR system, feature point matching between a model and its image is required for the camera pose estimation. However, a sufficient number of correspondence points is not always detected to estimate accurate camera poses. To solve this problem, we propose the use of line segments feature that can possibly be detected even when only a few feature points can be detected. In this paper, we propose a marker-less AR system that uses line segment features for camera pose estimation. In this system, we propose a novel descriptor of the line segment feature for achieving fast computation of the camera pose estimation. We also construct a database which contains a k-d tree of line feature and 3D line segment position for finding 2D-3D line segment correspondences from input image and the database, so that we can estimate the camera pose and perform AR. We demonstrated that our proposed method can estimate the camera pose and provide robust marker-less AR in the situation where point matching method fails.

Original languageEnglish
Title of host publicationProceedings of SPIE-IS and T Electronic Imaging - Engineering Reality of Virtual Reality 2015
EditorsMargaret Dolinsky, Ian E. McDowall
ISBN (Electronic)9781628414820
Publication statusPublished - 2015 Jan 1
EventEngineering Reality of Virtual Reality 2015 - San Francisco, United States
Duration: 2015 Feb 92015 Feb 10

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


OtherEngineering Reality of Virtual Reality 2015
Country/TerritoryUnited States
CitySan Francisco


  • Line segment
  • Line segment feature
  • Line segment matching
  • Marker-less AR
  • The camera pose estimation

ASJC Scopus subject areas

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


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