28 citations · 76 across the 14 of their papers we have counts for
14 papers
A Geometric Framework for Absolute Pose and Velocity Estimation with Event Cameras
Zibin Liu, Shunkun Liang, Banglei Guan +3
Despite the rapid advancements in event-based motion estimation, current geometric methods primarily focus on velocity estimation. However, absolute pose estimation, which is equal…
An Opticalmechanics Framework for Dynamic Estimation of Multibody Systems
Banglei Guan, Xuanyu Bai, Qingquan Chen +5
Conventional dynamics analysis of the human body is often constrained by the need for contact force and torque sensors and controlled laboratory environments. To address this issue…
Minimal Solvers for Full-DoF Motion Estimation from Asynchronous Differential SfM
Shuo Pan, Banglei Guan, Bin Li +5
As a bio-inspired intelligent sensor, event cameras have introduced a new paradigm in the intelligent perception of spatiotemporal information and visual motion estimation, charact…
A Minimal Solver for Relative Pose Estimation with Unknown Focal Length from Two Affine Correspondences
Zhenbao Yu, Shirong Ye, Ronghe Jin +4
In this paper, we aim to estimate the relative pose and focal length between two views with known intrinsic parameters except for an unknown focal length from two affine correspond…
LECalib: Line-Based Event Camera Calibration
Zibin Liu, Banglei Guan, Yang Shang +3
Camera calibration is an essential prerequisite for event-based vision applications. Current event camera calibration methods typically involve using flashing patterns, reconstruct…
Optical Flow-Guided 6DoF Object Pose Tracking with an Event Camera
Zibin Liu, Banglei Guan, Yang Shang +3
Object pose tracking is one of the pivotal technologies in multimedia, attracting ever-growing attention in recent years. Existing methods employing traditional cameras encounter n…
Globally Optimal Solution to the Generalized Relative Pose Estimation Problem using Affine Correspondences
Zhenbao Yu, Banglei Guan, Shunkun Liang +3
Mobile devices equipped with a multi-camera system and an inertial measurement unit (IMU) are widely used nowadays, such as self-driving cars. The task of relative pose estimation…
Flexible Camera Calibration using a Collimator System
Shunkun Liang, Banglei Guan, Zhenbao Yu +5
Camera calibration is a crucial step in photogrammetry and 3D vision applications. This paper introduces a novel camera calibration method using a designed collimator system. Our c…
Collimator-assisted high-precision calibration method for event cameras
Zibin Liu, Shunkun Liang, Banglei Guan +3
Event cameras are a new type of brain-inspired visual sensor with advantages such as high dynamic range and high temporal resolution. The geometric calibration of event cameras, wh…
Asynchronous Event Stream Noise Filtering for High-frequency Structure Deformation Measurement
Yifei Bian, Banglei Guan, Zibin Liu +4
Large-scale structures suffer high-frequency deformations due to complex loads. However, harsh lighting conditions and high equipment costs limit measurement methods based on tradi…
Optimal Pose Guidance for Stereo Calibration in 3D Deformation Measurement
Dongcai Tan, Shunkun Liang, Bin Li +11
Stereo optical measurement techniques, such as digital image correlation (DIC), are widely used in 3D deformation measurement as non-contact, full-field measurement methods, in whi…
Stereo Event-based, 6-DOF Pose Tracking for Uncooperative Spacecraft
Zibin Liu, Banglei Guan, Yang Shang +3
Pose tracking of uncooperative spacecraft is an essential technology for space exploration and on-orbit servicing, which remains an open problem. Event cameras possess numerous adv…
Full-DoF Egomotion Estimation for Event Cameras Using Geometric Solvers
Ji Zhao, Banglei Guan, Zibin Liu +1
For event cameras, current sparse geometric solvers for egomotion estimation assume that the rotational displacements are known, such as those provided by an IMU. Thus, they can on…
Line-based 6-DoF Object Pose Estimation and Tracking With an Event Camera
Zibin Liu, Banglei Guan, Yang Shang +2
Pose estimation and tracking of objects is a fundamental application in 3D vision. Event cameras possess remarkable attributes such as high dynamic range, low latency, and resilien…