Robust epipolar geometry estimation using noisy pose priors

作者：

Highlights：

• Dealing with epipolar geometry EG estimation when pose prior data is available

• Robust optimization for low inlier fractions and high levels of pose uncertainty

• An extensive experimental setup for testing EG algorithms with low amount of work

摘要

•Dealing with epipolar geometry EG estimation when pose prior data is available•Robust optimization for low inlier fractions and high levels of pose uncertainty•An extensive experimental setup for testing EG algorithms with low amount of work

论文关键词：Robust estimation,Epipolar geometry,Pose priors

论文评审过程：Received 16 February 2016, Revised 19 June 2017, Accepted 9 September 2017, Available online 20 September 2017, Version of Record 28 September 2017.

论文官网地址：https://doi.org/10.1016/j.imavis.2017.09.006