Results 1 to 10 of about 50,857 (288)

Factoring Algebraic Error for Relative Pose Estimation [PDF]

, 2009
We address the problem of estimating the relative pose, i.e. translation and rotation, of two calibrated cameras from image point correspondences. Our approach is to factor the nonlinear algebraic pose error functional into translational and rotational components, and to optimize translation and rotation independently.
Lindstrom, P, Duchaineau, M
openaire   +3 more sources

Experimental Study of Spacecraft Pose Estimation Algorithm Using

Journal of Astronomy and Space Sciences, 2018
This paper presents a vision-based relative pose estimation algorithm and its validation through both numerical and hardware experiments. The algorithm and the hardware system were simultaneously designed considering actual experimental conditions. Two
Jeonghoon Hyun, Youngho Eun, Sang-Young Park   +2 more
doaj   +1 more source

Structure-Aware Correspondence Learning for Relative Pose Estimation

2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Relative pose estimation provides a promising way for achieving object-agnostic pose estimation. Despite the success of existing 3D correspondence-based methods, the reliance on explicit feature matching suffers from small overlaps in visible regions and unreliable feature estimation for invisible regions.
Yihan Chen, Wenfei Yang, Huan Ren, Shifeng Zhang, Tianzhu Zhang 0001, Feng Wu 0001   +5 more
openaire   +2 more sources

Robust Pose Estimation by Fusing Partial Color and Depth Imagery

Measurement Science Review
Pose estimation algorithms are an extensively studied research topic in the field of computer vision and machine learning. Even though many algorithms attempt to solve the problem, most algorithms are still not accurate enough to recover poses in real ...
Alper Mehmet Akif
doaj   +1 more source

A Unified Framework for Absolute and Relative Pose Estimation of Spherical Cameras

IEEE Access
Spherical cameras are polydiopter cameras that use multiple lenses with overlapping field of view to capture the scene. A spherical view of the scene is reconstructed through stitching algorithms after correcting the distortion introduced by the lenses ...
Liliana Lo Presti, Giuseppe Mazzola, Marco la Cascia   +2 more
doaj   +1 more source

A Multi-Camera System-Based Relative Pose Estimation and Virtual–Physical Collision Detection Methods for the Underground Anchor Digging Equipment

Mathematics
This work proposes a novel multi-camera system-based method for relative pose estimation and virtual–physical collision detection for anchor digging equipment.
Wenjuan Yang, Yang Ji, Xuhui Zhang, Dian Zhao, Zhiteng Ren, Zeyao Wang, Sihao Tian, Yuyang Du, Le Zhu, Jie Jiang   +9 more
doaj   +1 more source

Consensus SE(3)-Constrained Extended Kalman Filter for Close Proximity Orbital Relative Pose Estimation

Aerospace
In this paper, a recently proposed SE(3)-constrained extended Kalman filter (EKF) is extended to formulate a strategy for relative orbit estimation in a space-based sensor network. The resulting consensus SE(3)-constrained EKF utilizes space-based sensor
S. Mathavaraj, Eric A. Butcher
doaj   +1 more source

Joint Optimization of the 3D Model and 6D Pose for Monocular Pose Estimation

Drones
The autonomous landing of unmanned aerial vehicles (UAVs) relies on a precise relative 6D pose between platforms. Existing model-based monocular pose estimation methods need an accurate 3D model of the target.
Liangchao Guo, Lin Chen, Qiufu Wang, Zhuo Zhang, Xiaoliang Sun   +4 more
doaj   +1 more source

Hierarchical graphical-based human pose estimation via local multi-resolution convolutional neural network

AIP Advances, 2018
This paper addresses the problems of the graphical-based human pose estimation in still images, including the diversity of appearances and confounding background clutter.
Aichun Zhu, Tian Wang, Hichem Snoussi
doaj   +1 more source

Design and Verification of Spacecraft Pose Estimation Algorithm using Deep Learning

Journal of Astronomy and Space Sciences
This study developed a real-time spacecraft pose estimation algorithm that combined a deep learning model and the leastsquares method. Pose estimation in space is crucial for automatic rendezvous docking and inter-spacecraft communication. Owing to the
Shinhye Moon, Sang-Young Park, Seunggwon Jeon, Dae-Eun Kang   +3 more
doaj   +1 more source