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English(EN) Spherical-to-ERP Epipolar Rectification for Single-Axis Disparity in 360 Stereo

新方法校正360度立体图像的视差

研究人员开发了一种方法,通过使用球形到等距柱状(ERP)投影来改进360度立体图像的视差估计。此预处理步骤可拉直外极线,从而形成一维视差结构,可由RAFT +外极线对齐通道选择(EACS)等现有框架处理。在合成鱼眼数据集上的实验表明,该流程可实时准确地估计视差,将传统立体方法扩展到全向成像。 AI

影响 能够更准确、更高效地估计360度图像的视差,可能改进虚拟现实和机器人领域的应用。

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。

在 arXiv cs.CV 阅读 →

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新方法校正360度立体图像的视差

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报道来源 [2]

  1. arXiv cs.CV TIER_1 English(EN) · Sahereh Obeidavi, Dieter Landes ·

    球形到ERP的单轴视差外极线校正 360立体声

    arXiv:2606.24847v1 Announce Type: new Abstract: Omnidirectional stereo images provide full-surround perception but violate the geometric assumptions of classical disparity estimation: in spherical or fisheye views, epipolar correspondences follow curved great-circle paths, produc…

  2. arXiv cs.CV TIER_1 English(EN) · Dieter Landes ·

    球形到ERP的单轴视差外极校正 360立体声

    Omnidirectional stereo images provide full-surround perception but violate the geometric assumptions of classical disparity estimation: in spherical or fisheye views, epipolar correspondences follow curved great-circle paths, producing two-dimensional displacements that cannot be…