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English(EN) Cast and Attached Shadow Detection via Iterative Light and Geometry Reasoning

新框架通过光照和几何推理联合检测阴影和附着阴影

研究人员开发了一个新颖的框架,通过迭代地推理光照和几何来检测阴影和附着阴影。这种双模块架构使用一个阴影检测模块和一个光照估计模块,它们相互完善,利用阴影形成和光照估计之间的相互关系。该方法展示了改进的性能,特别是在减少附着阴影检测错误方面,同时保持了对完整阴影和阴影的有力结果。 AI

影响 这项研究可以提高计算机视觉系统对场景几何和光照的理解,影响自动驾驶和机器人等领域。

排序理由 详细介绍一种新阴影检测方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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新框架通过光照和几何推理联合检测阴影和附着阴影

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详细介绍一种新阴影检测方法的学术论文。[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) · Shilin Hu, Jingyi Xu, Sagnik Das, Dimitris Samaras, Hieu Le ·

    通过迭代光照与几何推理进行投射与附着阴影检测

    arXiv:2512.06179v3 Announce Type: replace Abstract: Shadows encode rich information about scene geometry and illumination, yet existing methods either predict a unified shadow mask or overlook attached shadows entirely. We address this gap by proposing a framework for jointly det…