Measurement-Adaptive Light-Cone Transform for Robust Non-Line-of-Sight Imaging
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-Adaptive Light-Cone Transform (MALCT), a physics-guided framework that retains the efficient Fourier-domain inversion structure of LCT. {Within a unified variational formulation, MALCT combines the analytical response with a shared learned response through measurement-conditioned weighting and predicts a measurement-conditioned, frequency-dependent regularization map.} An attention-enhanced spatio-temporal feature extraction module captures long-range temporal d...
| Authors | Lianfang Wang, Xueying Liu, Junnan Dong et al. |
|---|---|
| Primary category | eess.IV |
| Published | 16 October 2026 |
| Last updated at source | 16 October 2026 |
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