Geometric-aware dense matching network for 6D pose estimation of objects from RGB-D images-Reference-Cited by-同舟云学术

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Geometric-aware dense matching network for 6D pose estimation of objects from RGB-D images

Published:2023-05 Issue: Volume:137 Page:109293
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Wu Chenrui^ORCID,Chen Long,Wang Shenglong,Yang Han,Jiang Junjie

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference46 articles.

1. Least-squares fitting of two 3-D point sets;Arun;IEEE Trans. Pattern Anal. Mach. Intell.,1987

2. Learning 6D object pose estimation using 3D object coordinates;Brachmann,2014

3. Deep global registration;Choy,2020

4. Fully convolutional geometric features;Choy,2019

5. Active garment recognition and target grasping point detection using deep learning;Corona;Pattern Recognit.,2018

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1. OA-Pose: Occlusion-aware monocular 6-DoF object pose estimation under geometry alignment for robot manipulation;Pattern Recognition;2024-10

2. Test-time adaptation for 6D pose tracking;Pattern Recognition;2024-08

3. Multi-View Metal Parts Pose Estimation Based on a Single Camera;Sensors;2024-05-25

4. A Method for Unseen Object Six Degrees of Freedom Pose Estimation Based on Segment Anything Model and Hybrid Distance Optimization;Electronics;2024-02-16

5. Object Pose Estimation Using Color Images and Predicted Depth Maps;IEEE Access;2024

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