Results 241 to 250 of about 382,910 (276)

Relative Pose Estimation from Two Circles

2008
Motion estimation between two views especially from a minimal set of features is a central problem in computer vision. Although algorithms for computing the motion between two calibrated cameras using point features exist, there is up to now no solution for a scenario employing just circles in space.
Stefan Rahmann, Veselin Dikov
openaire   +1 more source

PA-FlowNet: Pose-Auxiliary Optical Flow Network for Spacecraft Relative Pose Estimation

2020 25th International Conference on Pattern Recognition (ICPR), 2021
During the process of space travelling and space landing, the spacecraft attitude estimation is the indispensable work for navigation. Since there are not enough satellites for GPS-like localization in space, the computer vision technique is adopted to address the issue. The most crucial task for localization is the extraction of correspondences.
Chen Zhi-Yu, Chen Po-Heng, Chen Kuan-Wen, Chan Chen-Yu   +3 more
openaire   +1 more source

Relative pose estimation from points by Kalman filters

2015 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2015
This paper addresses a method of dynamically estimating relative pose between two rigid bodies from four corresponding point sets during motion in applications such as visual servoing and metrology for intelligent manufacturing. Instead of tracking each body individually relative to a camera, the underlying problem is how to track two bodies ...
Yu Lin, Tianyan Chen, Fengfeng Xi, Gaosheng Fu   +3 more
openaire   +1 more source

Relative spatial pose estimation for autonomous grasping

Optical Engineering, 1997
A technique for finding the relative spatial pose between a robotic end effector and a target object to be grasped without a priori knowledge of the spatial relationship between the camera and the robot is presented. The transformation between the coordinate system of the camera and the coordinate system of the robot is computed dynamically using ...
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Robust relative pose estimation with integrated cheirality constraint

2008 19th International Conference on Pattern Recognition, 2008
The cheirality constraint, which requires that reconstructed point correspondences lie in front of the cameras, has not typically been integrated into traditional RANSAC-based pose estimators. We have developed a new RANSAC-based relative pose estimator which incorporates the cheirality constraint not only to preempt invalid epipolar geometry ...
null Wei Xu, Jane Mulligan
openaire   +1 more source

Self-Supervised Ground-Relative Pose Estimation

2022 26th International Conference on Pattern Recognition (ICPR), 2022
Bruce R. Muller, William A. P. Smith
openaire   +1 more source

Relative Pose Estimation for Planetary Entry Descent Landing

2011
The paper is about the estimation of the relative position of a spacecraft, during the Entry Descent Landing (EDL) phase, by means of computer vision. A camera installed on board of the vehicle acquires images that are used for estimating the relative position of the camera between two consecutive images.
Zini L, ODONE, FRANCESCA, VERRI, ALESSANDRO, Lanza P, Marcer A.   +4 more
openaire   +2 more sources

Optimization of the Relative Stereo Pose Estimation Pipeline

2021
Stereo Vision ermöglicht die Erstellung von 3D Modellen der Umgebung mit Hilfe von nur zwei starr miteinander verbundenen Kameras. Um eine fehlerhafte 3D Rekonstruktion im Bezug auf dynamische Objekte in der aufgenommenen Szene zu verhindern, werden Stereo-Kameras typischerweise zeitlich synchronisiert. Sollte dies nicht möglich sein, können dynamische
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Relative Pose Consistency for Semi-Supervised Head Pose Estimation

2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021), 2021
Felix Kuhnke, Sontje Ihler, Jorn Ostermann   +2 more
openaire   +1 more source

Relative pose estimation for multiple cameras using Lie algebra optimization

Applied Optics, 2019
This paper addresses the problem of relative pose estimation for multiple cameras in the context of motion-based camera calibration. Relative pose is found from a set of camera-target relative poses. A least-square kind loss function is established using 3D relative Riemannian metrics of targets and cameras.
Yubo Ni, Xiangjun Wang, Lei Yin
openaire   +2 more sources