Search Results for author: Yang Shang

Found 7 papers, 4 papers with code

Stereo Event-based, 6-DOF Pose Tracking for Uncooperative Spacecraft

1 code implementation17 Mar 2025 Zibin Liu, Banglei Guan, Yang Shang, Yifei Bian, Pengju Sun, Qifeng Yu

To address the standard on-orbit observation missions, we propose a line-based pose tracking method for uncooperative spacecraft utilizing a stereo event camera.

Pose Tracking

Building 3D In-Context Learning Universal Model in Neuroimaging

1 code implementation4 Mar 2025 Jiesi Hu, Hanyang Peng, Yanwu Yang, Xutao Guo, Yang Shang, Pengcheng Shi, Chenfei Ye, Ting Ma

However, existing ICL models, which take 2D images as input, struggle to fully leverage the 3D anatomical structures in neuroimages, leading to a lack of global awareness and suboptimal performance.

Denoising In-Context Learning

3D Trajectory Reconstruction of Moving Points Based on a Monocular Camera

no code implementations27 Feb 2025 Huayu Huang, Banglei Guan, Yang Shang, Qifeng Yu

Then, an automatic algorithm for determining the order of the temporal polynomials is proposed.

High-precision visual navigation device calibration method based on collimator

no code implementations25 Feb 2025 Shunkun Liang, Dongcai Tan, Banglei Guan, Zhang Li, Guangcheng Dai, Nianpeng Pan, Liang Shen, Yang Shang, Qifeng Yu

Visual navigation devices require precise calibration to achieve high-precision localization and navigation, which includes camera and attitude calibration.

Camera Calibration Visual Navigation

Camera Calibration using a Collimator System

1 code implementation30 Sep 2024 Shunkun Liang, Banglei Guan, Zhenbao Yu, Pengju Sun, Yang Shang

This paper introduces a novel camera calibration method using a collimator system, which can provide a reliable and controllable calibration environment for cameras with varying working distances.

Camera Calibration

Line-based 6-DoF Object Pose Estimation and Tracking With an Event Camera

1 code implementation6 Aug 2024 Zibin Liu, Banglei Guan, Yang Shang, Qifeng Yu, Laurent Kneip

In this work, we propose a line-based robust pose estimation and tracking method for planar or non-planar objects using an event camera.

Object Pose Estimation

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