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Single‐camera pose estimation using mirage

open access: yesIET Computer Vision, 2018
Recently, mirage pose estimation method was proposed for multi‐camera systems. Multi‐camera mirage analytically solves a system of linear equations for six pose parameters in O(n) time. Mirage promises to execute in real time with high accuracy and shows
Khomsun Singhirunnusorn   +2 more
doaj   +3 more sources

Multi-View Camera Pose Estimation for Robotic Arm Manipulation

open access: yesIEEE Access, 2020
This article proposes a novel approach aimed at estimating the pose of a camera, affixed to a robotic manipulator, against a target object. Our approach provides a way to exploit the redundancy of the robotic arm kinematics by directly considering ...
Ihtisham Ali   +3 more
doaj   +3 more sources

Camera parameters estimation from pose detections [PDF]

open access: yesКомпьютерная оптика, 2020
Some computer vision tasks become easier with known camera calibration. We propose a method for camera focal length, location and orientation estimation by observing human poses in the scene.
E.A. Shalimova   +2 more
doaj   +1 more source

Fast and Accurate Pose Estimation with Unknown Focal Length Using Line Correspondences

open access: yesSensors, 2022
Estimating camera pose is one of the key steps in computer vison, photogrammetry and SLAM (Simultaneous Localization and Mapping). It is mainly calculated based on the 2D–3D correspondences of features, including 2D–3D point and line correspondences.
Kai Guo   +4 more
doaj   +1 more source

Spaceborne pose determination based on image to 3D digital surface model matching

open access: yesIET Image Processing, 2022
Developing an accurate onboard‐camera pose estimation is one major challenge of satellite systems, and the attempt of improving remote sensing camera pose accuracy never ceases.
Xing Chang   +4 more
doaj   +1 more source

Camera Pose Estimation Suitable for Smart Cameras [PDF]

open access: yesProceedings of the 11th International Conference on Distributed Smart Cameras, 2017
Camera pose estimation across video sequences is an important issue under several computer vision applications. In previous work, the most popular approach consists on optimization techniques applied over 2D/3D point correspondences for two consecutive frames from a video sequence.
Abiel Aguilar-González   +2 more
openaire   +1 more source

Domain Adaptation of Networks for Camera Pose Estimation: Learning Camera Pose Estimation Without Pose Labels

open access: yesCoRR, 2021
One of the key criticisms of deep learning is that large amounts of expensive and difficult-to-acquire training data are required in order to train models with high performance and good generalization capabilities. Focusing on the task of monocular camera pose estimation via scene coordinate regression (SCR), we describe a novel method, Domain ...
Jack Langerman   +5 more
openaire   +2 more sources

Closed-form camera pose and plane parameters estimation for moments-based visual servoing of planar objects

open access: yesInternational Journal of Advanced Robotic Systems, 2022
Image moments are global descriptors of an image and can be used to achieve control-decoupling properties in visual servoing. However, only a few methods completely decouple the control.
Yuhan Chen   +4 more
doaj   +1 more source

Regression-Based Camera Pose Estimation through Multi-Level Local Features and Global Features

open access: yesSensors, 2023
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 ...
Meng Xu   +3 more
doaj   +1 more source

IMPROVING CAMERA POSE ESTIMATION USING SWARM PARTICLE ALGORITHMS [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
Most computer vision and photogrammetry applications rely on accurately estimating the camera pose, such as visual navigation, motion tracking, stereo photogrammetry, and structure from motion.
A. Elashry, C. Toth
doaj   +1 more source

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