首页|Findings from Fudan University Broaden Understanding of Robotics and Automation (Pngor: a Novel Guaranteed Outlier Removal Method Ensuring Robust Rotation Estim ation From Planar Normals)
Findings from Fudan University Broaden Understanding of Robotics and Automation (Pngor: a Novel Guaranteed Outlier Removal Method Ensuring Robust Rotation Estim ation From Planar Normals)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics - Robotics and Automation. Accordingto news reporting originating in Sha nghai, People’s Republic of China, by NewsRx journalists, researchstated, “In t his letter, we propose a guaranteed outlier removal method based on computationa l geometryconsistency checks, named PNGOR, effectively leveraging planar normal s from 3D scenes to estimaterotation. The challenge of estimating rotation can be conceptualized as a maximum consensus problemand we address it by approximat ing the computation through the resolution of subproblems associatedwith each p lane correspondence.”
ShanghaiPeople’s Republic of ChinaAs iaRobotics and AutomationRoboticsFudan University
NETL
NSTL
