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English(EN) Measurement-Adaptive Light-Cone Transform for Robust Non-Line-of-Sight Imaging

新的MALCT框架增强了非视线成像能力

研究人员开发了一个名为测量自适应光锥变换(MALCT)的新框架,以改进非视线(NLOS)成像。该方法解决了影响传统光锥变换(LCT)技术的噪声和理想传输偏差问题。MALCT通过测量条件加权整合了分析响应和学习响应,并使用增强注意力模块来捕捉时空依赖性,从而在低信号或缩短采集时间的情况下也能获得更好的重建质量。 AI

影响 这项新的成像技术有望提高在挑战性非视线场景下的重建质量。

排序理由 详细介绍新技术的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.CV 阅读 →

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新的MALCT框架增强了非视线成像能力

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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Lianfang Wang, Xueying Liu, Junnan Dong, Qinghua Zhang, Jun Liu, Yong Wang, Yuping Duan ·

    面向鲁棒非视距成像的测量自适应光锥变换

    arXiv:2610.22847v1 Announce Type: cross Abstract: Practical non-line-of-sight (NLOS) measurements are affected by noise and deviations from idealized light transport, which can degrade reconstruction with conventional light-cone transform (LCT) methods. We propose the Measurement…