3D Object Recognition and Pose Estimation From Point Cloud Using Stably Observed Point Pair Feature

3D Object Recognition and Pose Estimation From Point Cloud Using Stably Observed Point Pair Feature

Recognition and pose estimation from 3D free-form objects is a key step for autonomous robotic manipulation. Recently, the point pair features (PPF) voting approach has been shown to be effective for simultaneous object recognition and pose estimation. However, the global model descriptor (e.g., PPF...

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Bibliographic Details
Main Authors: Deping Li, Hanyun Wang, Ning Liu, Xiaoming Wang, Jin Xu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
3D object recognition
3D pose estimation
point cloud
point pair feature
Online Access:https://ieeexplore.ieee.org/document/9024052/

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