Detecting changes in 3D structure of a scene from multi-view images captured by a vehicle-mounted camera

Ken Sakurada, Takayuki Okatani, Koichiro Deguchi

研究成果: Conference article査読

45 被引用数 (Scopus)

抄録

This paper proposes a method for detecting temporal changes of the three-dimensional structure of an outdoor scene from its multi-view images captured at two separate times. For the images, we consider those captured by a camera mounted on a vehicle running in a city street. The method estimates scene structures probabilistically, not deterministically, and based on their estimates, it evaluates the probability of structural changes in the scene, where the inputs are the similarity of the local image patches among the multi-view images. The aim of the probabilistic treatment is to maximize the accuracy of change detection, behind which there is our conjecture that although it is difficult to estimate the scene structures deterministically, it should be easier to detect their changes. The proposed method is compared with the methods that use multi-view stereo (MVS) to reconstruct the scene structures of the two time points and then differentiate them to detect changes. The experimental results show that the proposed method outperforms such MVS-based methods.

本文言語English
論文番号6618869
ページ(範囲)137-144
ページ数8
ジャーナルProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
DOI
出版ステータスPublished - 2013
イベント26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2013 - Portland, OR, United States
継続期間: 2013 6 232013 6 28

ASJC Scopus subject areas

  • ソフトウェア
  • コンピュータ ビジョンおよびパターン認識

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