Rolling Shutter Camera Relative Pose: Generalized Epipolar Geometry

Yuchao Dai, Hongdong Li, Laurent Kneip

科研成果: 书/报告/会议事项章节会议稿件同行评审

62 引用 (Scopus)

摘要

The vast majority of modern consumer-grade cameras employ a rolling shutter mechanism. In dynamic geometric computer vision applications such as visual SLAM, the so-called rolling shutter effect therefore needs to be properly taken into account. A dedicated relative pose solver appears to be the first problem to solve, as it is of eminent importance to bootstrap any derivation of multi-view geometry. However, despite its significance, it has received inadequate attention to date. This paper presents a detailed investigation of the geometry of the rolling shutter relative pose problem. We introduce the rolling shutter essential matrix, and establish its link to existing models such as the push-broom cameras, summarized in a clean hierarchy of multi-perspective cameras. The generalization of well-established concepts from epipolar geometry is completed by a definition of the Sampson distance in the rolling shutter case. The work is concluded with a careful investigation of the introduced epipolar geometry for rolling shutter cameras on several dedicated benchmarks.

源语言英语
主期刊名Proceedings - 29th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016
出版商IEEE Computer Society
4132-4140
页数9
ISBN(电子版)9781467388504
DOI
出版状态已出版 - 9 12月 2016
已对外发布
活动29th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 - Las Vegas, 美国
期限: 26 6月 20161 7月 2016

出版系列

姓名Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
2016-December
ISSN(印刷版)1063-6919

会议

会议29th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016
国家/地区美国
Las Vegas
时期26/06/161/07/16

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