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English(EN) PerBite: A Curated Diagnostic Workflow for Bite-Aware Food Volume Estimation

PerBite 工作流程通过 3D 网格分析准确估算食物体积

研究人员开发了一种名为 PerBite 的新工作流程,用于估算餐食中消耗的食物体积。该方法结合了分割、3D 网格生成和盘子测量来确定体积。PerBite 在一项挑战赛中获得第一名,Chamfer 距离较低,并且在州级体积方面表现出较低的 MAPE,尽管消耗体积的 MAPE 仍然较高。 AI

影响 引入了一种新颖的工作流程,可精确估算食物体积,可能有助于饮食追踪和健康应用。

排序理由 这是一篇详细介绍食物体积估算新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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PerBite 工作流程通过 3D 网格分析准确估算食物体积

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这是一篇详细介绍食物体积估算新方法的学术论文。[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) · Ahmad AlMughrabi, Farid Al-Areqi, David Fern\'andez G\'omez, Umair Haroon, Marc Bola\~nos, Ricardo Marques, Petia Radeva ·

    PerBite:一种用于咬合感知食物体积估算的精选诊断工作流程

    arXiv:2606.02021v1 Announce Type: new Abstract: Can a visually plausible food mesh be trusted to estimate the volume of consumed food? \method investigates this question using selected paired before- and after-consumption states from the MetaFood CVPR 2026 Continuous 3D Reconstru…