视觉与机器人

Image Fusion

围绕 image fusion 的图像融合方法、数据集、评测与应用。

2026-01-13 至 2026-01-13 共收录 2 篇

2512.12203 2026-01-13 cs.RO cs.CV 71%

Navigation Around Unknown Space Objects Using Visible-Thermal Image Fusion

利用可见光与热红外图像融合进行未知空间物体的导航

Eric J. Elias, Michael Esswein, Jonathan P. How, David W. Miller

机构 * Draper Scholar, Department of Aeronautics and Astronautics, Massachusetts Institute of Technology（麻省理工学院航空航天系）； Senior Member of Technical Staff, The Charles Stark Draper Laboratory Inc.（查尔斯·斯塔克·德拉珀实验室公司）； Ford Professor of Engineering, Department of Aeronautics and Astronautics, Massachusetts Institute of Technology（麻省理工学院航空航天系）； Professor Post Tenure, Department of Aeronautics and Astronautics, Massachusetts Institute of Technology（麻省理工学院航空航天系）

专题命中 Image Fusion ：image fusion(title)

AI总结本文提出利用可见光与热红外图像融合技术，提升在复杂光照条件下对未知空间物体的导航精度。

Comments 18 pages, 11 figures. To be published in proceedings of AIAA SCITECH 2026 Forum

2601.06883 2026-01-13 cs.CV cs.AI 50%

MixRI: Mixing Features of Reference Images for Novel Object Pose Estimation

MixRI：用于新颖物体姿态估计的参考图像特征混合

Xinhang Liu, Jiawei Shi, Zheng Dang, Yuchao Dai

机构 * School of Electronics and Information, Northwestern Polytechnical University（电子与信息学院，西北工业大学）； Shaanxi Key Laboratory of Information Acquisition and Processing（陕西省信息获取与处理重点实验室）； CVLab, EPFL, Switzerland（EPFL瑞士计算机视觉实验室）

专题命中 Image Fusion ：image fusion(abstract)

AI总结 MixRI通过轻量级网络和参考图像融合策略，实现新颖物体姿态估计，减少计算和存储需求，同时保持与传统方法相当的性能。

Comments Accepted by ICCV 2025

Journal ref Proceedings of the IEEE/CVF International Conference on Computer Vision (2025) 9024--9035