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English(EN) CSS-BA: Gate-Guided Column Space Search for Bundle Adjustment

新的CSS-BA方法增强了在复杂场景下的三维重建精度

研究人员开发了一种名为门控列空间搜索捆绑调整(CSS-BA)的新方法,以提高在复杂场景下三维重建的精度和稳定性。该方法通过将更新约束在一个由几何信息指导的低维子空间内,来修改经典的基于Schur的Levenberg-Marquardt(LM)求解器。与选择关键帧的方法不同,CSS-BA在优化中保留所有参数,同时限制更新方向,可以作为现有管线的即插即用替代方案。实验表明,在弱几何情况下,优化更稳定,姿态精度更高。 AI

影响 增强了三维重建的稳定性和精度,可能改进基于学习的管线。

排序理由 该集群包含一篇详细介绍计算机视觉新方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.CV 阅读 →

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新的CSS-BA方法增强了在复杂场景下的三维重建精度

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该集群包含一篇详细介绍计算机视觉新方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Ayano Kaneda, Takafumi Taketomi, Shugo Yamaguchi, Shigeo Morishima ·

    CSS-BA:用于捆绑调整的门控列空间搜索

    arXiv:2607.15652v1 Announce Type: new Abstract: Bundle adjustment (BA) remains a critical refinement module for image-based 3D reconstruction and continues to improve geometric accuracy even in learning-based pipelines. However, in low-parallax and near-rotational regimes, classi…