雷MVSNet++:学习基于射线的1D隐含场,用于准确的多视图立体声

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Updated: Jul 23, 2025

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery
05:12

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

Published on: August 12, 2021

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Yifei Shi, Junhua Xi, Dewen Hu

    IEEE transactions on pattern analysis and machine intelligence
    |July 17, 2023
    PubMed
    概括

    RayMVSNet通过学习相机射线沿着1D隐性场优化了深度估计,减少了多视图立体 (MVS) 的计算. 这种新的方法在具有挑战性的数据集上取得了最先进的结果,提高了3D重建质量.

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