Point-to-hyperplane RGB-D pose estimation: Fusing photometric and geometric measurements - researchr publication related

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Fernando I. Ireta Munoz, Andrew I. Comport. Point-to-hyperplane RGB-D pose estimation: Fusing photometric and geometric measurements. In 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2016, Daejeon, South Korea, October 9-14, 2016. pages 24-29, IEEE, 2016. [doi]

The following publications are possibly variants of this publication:

Point-to-hyperplane ICP: fusing different metric measurements for pose estimationFernando I. Ireta Muñoz, Andrew I. Comport. ar, 32(4):161-175, 2018. [doi]

Global Point-to-hyperplane ICP: Local and global pose estimation by fusing color and depthFernando I. Ireta Munoz, Andrew I. Comport. mfi 2017: 22-27 [doi]

A proof that fusing measurements using Point-to-hyperplane registration is invariant to relative scaleFernando I. Ireta Munoz, Andrew I. Comport. mfi 2016: 517-522 [doi]

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