任意形状の中継面を用いた3Dガウシアン過渡レンダリングによる非視線計測
Non-line-of-sight imaging with arbitrary relay surface geometries via 3D Gaussian Transient Rendering
平面壁や密なサンプリングを仮定せず、任意形状の中継面からの測定データを用いて隠れたシーンを3Dガウシアンで表現し、微分可能な過渡レンダリングで直接再構成する手法を提案。実データで最先端の精度を達成した。
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著者: Yi Wang, Ziyu Zhan, Yuran Wang, Hao Wang, Qiang Liu, Zuoqiang Shi, Lingyun Qiu, Xing Fu
分類: physics.optics, cs.CV
原文アブストラクト
Imaging objects hidden outside the direct line of sight expands the effective field of view and is critical for applications such as autonomous driving and robotic perception. Despite impressive progress in time-of-flight (ToF)-based non-line-of-sight (NLOS) imaging, real-world deployment remains challenging because practical measurements are often collected over spatially limited, arbitrarily shaped relay regions-conditions that violate the planar-wall and dense-sampling assumptions made by most existing methods. To address these limitations, we propose a LOS-guided NLOS imaging pipeline that imposes no geometric assumptions on the relay surface and naturally supports both confocal and non-confocal configurations. Our method represents the hidden scene using 3D Gaussian primitives and couples them with an efficient, differentiable transient rendering model, enabling end-to-end optimization directly from measured transients. We validate our approach on real-world measurements from both a public dataset and a custom-built capture system. Across settings, our method achieves state-of-the-art reconstruction fidelity under spatially limited, sparsely sampled conditions, and significantly outperforms existing methods on complex, arbitrary relay surface geometries.
