Marker-Less augmented reality framework using on-site 3d line-segment-based model generation

Yusuke Nakayama, Hideo Saito, Masayoshi Shimizu, Nobuyasu Yamaguchi

研究成果: Conference article査読

1 被引用数 (Scopus)


The authors propose a line-segment-based marker-less augmented reality (AR) framework that involves an on-site model-generation method and on-line camera tracking. In most conventional model-based marker-less AR frameworks, correspondences between the 3D model and the 2D frame for camera-pose estimation are obtained by feature-point matching. However, 3D models of the target scene are not always available, and feature points are not detected from texture-less objects. The authors' framework is based on a model-generation method with an RGB-D camera and model-based tracking using line segments, which can be detected even with only a few feature points. The camera pose of the input images can be estimated from the 2D-3D line-segment correspondences given by a line-segment feature descriptor. The experimental results show that the proposed framework can achieve AR when other point-based frameworks cannot. The authors also argue that their framework can generate a model and estimate camera pose more accurately than their previous study.

ジャーナルIS and T International Symposium on Electronic Imaging Science and Technology
出版ステータスPublished - 2016
イベントImage Processing: Machine Vision Applications IX 2016 - San Francisco, United States
継続期間: 2016 2月 142016 2月 18

ASJC Scopus subject areas

  • コンピュータ グラフィックスおよびコンピュータ支援設計
  • コンピュータ サイエンスの応用
  • 人間とコンピュータの相互作用
  • ソフトウェア
  • 電子工学および電気工学
  • 原子分子物理学および光学


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