Schematic of NLOS layout and the reconstruction framework (IMAGE)
Caption
a, To reconstruct the unseen object, some light sources are used to illuminate a visible wall. The photons bounced back from the object are detected at several points on the visible wall. b, Ground truth and our reconstruction. The x, y and z components are displayed in their absolute values. (c), Flowchart of the algorithm. The proposed regularization framework incorporates sparseness and non-local self-similarity of the hidden object as well as smoothness of the signal. Two orthogonal dictionaries are used to capture the local structures and non-local correlations of the hidden target. The estimated signal and the learned patterns of the target are shown on the left. Reconstructed albedo is shown on the right.
Credit
by Xintong Liu, Jianyu Wang, Zhupeng Li, Zuoqiang Shi, Xing Fu, Lingyun Qiu
Usage Restrictions
Credit must be given to the creator.
License
CC BY