Background estimation for a single omnidirectional image sequence captured with a moving camera

Norihiko Kawai, Naoya Inoue, Tomokazu Sato, Fumio Okura, Yuta Nakashima, Naokazu Yokoya

研究成果: Article査読

3 被引用数 (Scopus)

抄録

This paper proposes a background estimation method from a single omnidirectional image sequence for removing undesired regions such as moving objects, specular regions, and uncaptured regions caused by the camera's blind spot without manual specification. The proposed method aligns multiple frames using a reconstructed 3D model of the environment and generates background images by minimizing an energy function for selecting a frame for each pixel. In the energy function, we introduce patch similarity and camera positions to remove undesired regions more correctly and generate high-resolution images. In experiments, we demonstrate the effectiveness of the proposed method by comparing the result given by the proposed method with those from conventional approaches.

本文言語English
ページ(範囲)68-72
ページ数5
ジャーナルIPSJ Transactions on Computer Vision and Applications
6
DOI
出版ステータスPublished - 2014
外部発表はい

ASJC Scopus subject areas

  • コンピュータ ビジョンおよびパターン認識

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