English(EN) LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation

LiCamPose结合LiDAR和RGB摄像头实现3D人体姿态估计

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-08 04:00

研究人员开发了LiCamPose，这是一个整合多视角LiDAR和RGB摄像头数据以实现鲁棒的单时间戳3D人体姿态估计的新型流程。该方法解决了3D姿态提取中对多模态输入研究不足的问题。为了克服对手动标注的需求，该系统包含了一个合成数据集生成器和一个无监督域适应策略。 AI

影响引入了一种使用多模态传感器融合进行3D人体姿态估计的新方法，可能改进机器人和增强现实领域的应用。

排序理由这是一篇详细介绍3D人体姿态估计新方法的学术论文。

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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arXiv cs.CV TIER_1 English(EN) · Zhiyu Pan, Zhicheng Zhong, Wenxuan Guo, Yifan Chen, Jianjiang Feng, Jie Zhou · 2026-05-08 04:00

LiCamPose：结合多视角LiDAR和RGB摄像头实现鲁棒的单时间戳3D人体姿态估计

arXiv:2312.06409v4 Announce Type: replace Abstract: Several methods have been proposed to estimate 3D human pose from multi-view images, achieving satisfactory performance on public datasets collected under relatively simple conditions. However, there are limited approaches study…