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新方法增强大规模无人机测绘的三维重建 · 2篇论文

作者 PulseAugur 编辑部 · [2 个来源] ·

两篇新研究论文介绍了使用无人机（UAV）进行三维重建的先进方法。On-the-Fly3R 专注于处理无序图像流，并通过验证-拒绝-重试机制和姿态图优化来提高鲁棒性。另一方面，GeoFF3D 利用坐标锚定模型和空间大规模重建框架，直接在度量框架中预测姿态和密集点图，展示了在大规模测绘方面提高的准确性和速度。 AI

影响 无人机三维重建的这些进步可以为基础设施检查和环境监测等应用提供更高效、更准确的测绘。

排序理由 在 arXiv 上发表的两篇学术论文，详细介绍了三维重建的新方法。

在 arXiv cs.CV 阅读 →

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新方法增强大规模无人机测绘的三维重建 · 2篇论文

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在 arXiv 上发表的两篇学术论文，详细介绍了三维重建的新方法。
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报道来源 [2]

  1. arXiv cs.CV TIER_1 English(EN) · Zhe Shen, Liyuan Lou, Yifei Yu, Guanbo Wang, Quanjian Ji, Xin Wang, Zongqian Zhan ·

    On-the-Fly3R：面向大规模无人机场景，通过前馈3R模型实现鲁棒的在线3D重建

    arXiv:2609.00923v1 Announce Type: new Abstract: While feed-forward 3D reconstruction (3R) offers efficient end-to-end modeling, its application in large-scale UAV mapping is hindered by the prohibitive memory cost of Transformer attention. Current scalable streaming 3R methods as…

  2. arXiv cs.CV TIER_1 English(EN) · Xiang Yang, Yongli Wang, Yunsheng Zhang ·

    GeoFF3D：用于大规模无人机测绘的坐标锚定前馈重建

    arXiv:2608.28288v1 Announce Type: new Abstract: Existing feed-forward 3D reconstruction methods typically process a bounded number of images and recover cameras and geometry in local or internally normalized frames. Extending them to large-scale UAV mapping requires scalable mult…

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