A Hybrid Framework Based on Warped Hierarchical Tree for Pose Estimation of Texture-Less Objects

A Hybrid Framework Based on Warped Hierarchical Tree for Pose Estimation of Texture-Less Objects

The pose of texture-less objects is very important for intelligent manufacturing and intelligent assembly. Existing methods cannot accurately estimate pose when partial features are missing or cluttered due to shading, reflection, and occlusion. We propose a hybrid framework based on the warped hier...

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Bibliographic Details
Main Authors: Yongqi Guo, Jianlin Wang, Xinjie Zhou, Zhenguo Tan, Kepeng Qiu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Pose estimation
template matching
sparse representation classification
Online Access:https://ieeexplore.ieee.org/document/9208697/

Internet

https://ieeexplore.ieee.org/document/9208697/

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