Object Pose Estimation Using Color Images and Predicted Depth Maps

Object Pose Estimation Using Color Images and Predicted Depth Maps

The task of object pose estimation in computer vision heavily relies on both color (RGB) and depth (D) images to provide crucial appearance and geometric information, assisting algorithms in understanding occlusions and object geometry, thereby enhancing accuracy. However, the dependency on speciali...

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Bibliographic Details
Main Authors: Dinh-Cuong Hoang, Phan Xuan Tan, Anh-Nhat Nguyen, Duy-Quang Vu, van-Duc Vu, Thu-Uyen Nguyen, Quang-Tri Duong, van-Thiep Nguyen, Ngoc-Anh Hoang, Khanh-Toan Phan, Duc-Thanh Tran, Ngoc-Trung Ho, Cong-Trinh Tran, van-Hiep Duong, Phuc-Quan Ngo
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Pose estimation
robot vision systems
intelligent systems
deep learning
supervised learning
machine vision
Online Access:https://ieeexplore.ieee.org/document/10521634/

Internet

https://ieeexplore.ieee.org/document/10521634/

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