Depth estimation from the color drift of a route panorama

Hajime Nagahara, Atsushi Ichikawa, Masahiko Yachida

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

2 被引用数 (Scopus)

抄録

Image based modeling methods has been well studied for generating a 3D model from an image sequence. Most of them require redundant and huge spatio-temporal images for estimating a scene depth. It is not good characteristic for taking a higher resolution of texture. A route panorama is a continuous panoramic image along a path. It is suitable for modeling large environments such as a city or town. The panorama captured by a line scan sensor also has advantage for capturing higher resolution easily. In this paper, we propose a method for depth estimation from the panorama. The route panorama has color drifts that correspond to the distances of captured objects. We use these color drifts to estimate the depth of an image. The proposed method detects the color drift by window matching using Belief Propagation. It also uses a Gaussian Pyramid to stabilize the estimation and decrease its computation cost. We confirmed that the proposed method estimated depth maps from a single high-resolution panorama in experiments.

本文言語英語
ホスト出版物のタイトル2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS
ページ4066-4071
ページ数6
DOI
出版ステータス出版済み - 2008
外部発表はい
イベント2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS - Nice, フランス
継続期間: 9月 22 20089月 26 2008

その他

その他2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS
国/地域フランス
CityNice
Period9/22/089/26/08

!!!All Science Journal Classification (ASJC) codes

  • 人工知能
  • コンピュータ ビジョンおよびパターン認識
  • 制御およびシステム工学
  • 電子工学および電気工学

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