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English(EN) Spherical Geometry-Aware Panoptic Scene Graph Generation for Equirectangular Panoramas

新框架增强全景图像场景图生成

研究人员开发了一种新颖的全景场景图生成(PSGG)框架,专门用于等距柱状投影(ERP)全景图。这种新方法通过采用两阶段的球形几何感知方法,解决了全景图中失真和像素面积变化带来的挑战。该框架融合了重叠视图的预测,并通过球形面积感知聚合和双经度分数融合来增强关系推理。为了支持这项工作,创建了一个包含340张高分辨率全景图和详细注释的新数据集,与现有基线相比,在PSGG指标上显示出显著的改进。 AI

影响 为全景图像中的场景理解引入了一种专门的方法,有可能改进机器人和虚拟现实中的应用。

排序理由 详细介绍新方法和计算机视觉数据集的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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新框架增强全景图像场景图生成

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详细介绍新方法和计算机视觉数据集的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Zhe Wu, Xiaoyan Fei, Xinyi Jiang, Yanxu Wei, Junming Rao, Yihong Yan, Xuewei Li ·

    面向等距圆柱投影全景图的球形几何感知全景场景图生成

    arXiv:2610.28033v1 Announce Type: new Abstract: Panoptic scene graph generation (PSGG) represents scene entities with segmentation masks and directed relations. Equirectangular projection (ERP) panoramas challenge PSGG through distortion, latitude-dependent pixel areas, and an ar…