English(EN) Rotational Symmetry based Object Pose Estimation from Point Clouds in the Absence of Known 3D Models

新方法在无3D模型情况下利用旋转对称性估计物体姿态

作者 PulseAugur 编辑部 · [2 个来源] · 2026-06-15 11:41

研究人员开发了一种新颖的从点云估计物体姿态的方法，该方法不需要已知的3D模型。该方法利用了许多工业物体固有的旋转对称性，以克服因保密问题而限制访问详细3D模型的挑战。通过纳入使用通过利用这种对称性的最近邻搜索识别的对应关系计算出的旋转对称性约束损失，该方法迭代地优化物体姿态和点云本身。 AI

影响在3D模型不可用的情况下实现物体姿态估计，可能扩展机器人和工业自动化领域的应用。

排序理由该集群包含一篇提交至arXiv的研究论文，详细介绍了一种新的物体姿态估计方法。

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

报道来源 [2]

arXiv cs.CV TIER_1 English(EN) · Weichen Dai, Ruixun Yu, Yangjie Tang, Yifan Du, Yiyang Zhang, Donglei Sun, Hua Zhang · 2026-06-16 04:00

Rotational Symmetry based Object Pose Estimation from Point Clouds in the Absence of Known 3D Models

arXiv:2606.16593v1 Announce Type: new Abstract: Object pose estimation is crucial to many industrial applications, with one example being automated spray painting using a robot. However, confidentiality concerns often limit access to high-quality 3D models, posing a significant c…
arXiv cs.CV TIER_1 English(EN) · Hua Zhang · 2026-06-15 11:41

Rotational Symmetry based Object Pose Estimation from Point Clouds in the Absence of Known 3D Models

Object pose estimation is crucial to many industrial applications, with one example being automated spray painting using a robot. However, confidentiality concerns often limit access to high-quality 3D models, posing a significant challenge for point-cloud-based pose estimation. …