Regression-Based Camera Pose Estimation through Multi-Level Local Features and Global Features
Accurate and robust camera pose estimation is essential for high-level applications such as augmented reality and autonomous driving. Despite the development of global feature-based camera pose regression methods and local feature-based matching guided pose estimation methods, challenging conditions...
Main Authors: | Meng Xu, Zhihuang Zhang, Yuanhao Gong, Stefan Poslad |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-04-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/23/8/4063 |
Similar Items
-
Curve Set Feature-Based Robust and Fast Pose Estimation Algorithm
by: Mingyu Li, et al.
Published: (2017-08-01) -
A Lightweight Context-Aware Feature Transformer Network for Human Pose Estimation
by: Yanli Ma, et al.
Published: (2024-02-01) -
Feature-based RGB-D camera pose optimization for real-time 3D reconstruction
by: Chao Wang, et al.
Published: (2017-03-01) -
FCLGYOLO: Feature Constraint and Local Guided Global Feature for Fire Detection in Unmanned Aerial Vehicle Imagery
by: Dong Ren, et al.
Published: (2024-01-01) -
Multiscale feature fusion network for monocular complex hand pose estimation
by: Zhi Zhan, et al.
Published: (2023-12-01)