Object Pose Estimation Incorporating Projection Loss and Discriminative Refinement

Object Pose Estimation Incorporating Projection Loss and Discriminative Refinement

The accurate estimation of three-dimensional (3D) object pose is important in a wide range of applications, such as robotics and augmented reality. The key to estimate object poses is matching feature points in the captured image with predefined ones of the 3D model of the object. Existing learning-...

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Bibliographic Details
Main Authors: Jiun-Kai You, Chen-Chien James Hsu, Wei-Yen Wang, Shao-Kang Huang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Object pose estimation
LINEMOD
occlusion LINEMOD
deep learning
convolutional neural network
Online Access:https://ieeexplore.ieee.org/document/9335573/

Internet

https://ieeexplore.ieee.org/document/9335573/

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