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20160521-16 戴玉超:Rolling Shutter Camera Epipolar Geometry

2016-5-21 23:05| 发布者: 姬艳丽T成电| 查看: 7975| 评论: 0

摘要: 报告嘉宾2:戴玉超(澳大利亚国立大学) 报告时间:2016年5月25日(星期三)晚21:00(北京时间) 报告题目:Rolling Shutter Camera Relative Pose-Generalized Epipolar Geometry 主持人: 杨猛(深圳大学) ...

报告嘉宾2:戴玉超(澳大利亚国立大学)

报告时间:2016525日(星期三)晚21:00(北京时间)

报告题目:Rolling Shutter Camera Relative Pose-Generalized Epipolar Geometry

主持人:  杨猛(深圳大学)

报告摘要: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.

In this talk, I will present a detailed investigation of the geometry of the rolling shutter relative pose problem. In the recent work, 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.

参考文献:

[1] Yuchao Dai, Hongdong Li, Laurent Kneip. Rolling Shutter Camera Relative Pose-Generalized Epipolar Geometry.  CVPR 2016. http://arxiv.org/pdf/1605.00475v1.pdf

报告人简介: Yuchao Dai is currently an ARC DECRA Fellow with the Research School of Engineering at the Australian National University, Canberra. He received the B.E. degree, M.E degree and Ph.D. degree all in signal and information processing from Northwestern Polytechnical University, Xian, China, in 2005, 2008 and 2012, respectively. He was a visiting student at ANU from Oct. 2008 to Oct. 2009 with the support of the China Scholarship Council. His research interests include structure from motion, multi-view geometry, human-computer interaction, deep learning, compressive sensing and optimization. His work has been published in prestigious journals and conferences such as IEEE TPAMI, IJCV, ICCV, CVPR and ECCV. He won the best paper award in CVPR 2012 (the first one in mainland China).

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