Abstract

Non-line-of-sight (NLoS) imaging reveals a hidden scene using indirect diffuse reflections. A common choice for analyzing the time-of-flight (ToF) data from a non-confocal system is an ellipsoid model whose operator is high-dimensional, leading to a computationally arduous task. In this Letter, the product-convolution expansions method is utilized to formulate the operator and its adjoint based on the observation of a shift-variant point spread function (PSF) in the ToF data. The operator and its adjoint are locally approximated as a convolution, which allows the forward and backward procedure to be computed efficiently through fast Fourier transform (FFT). Moreover, the low-rank approximation of the operator is obtained by matrix decompositions, further improving the computational efficiency. The proposed method is validated using publicly accessible datasets.

© 2022 Optica Publishing Group

Fast non-line-of-sight imaging based on first photon event stamping

Zhupeng Li, Xintong Liu, Jianyu Wang, Zuoqiang Shi, Lingyun Qiu, and Xing Fu
Opt. Lett. 47(8) 1928-1931 (2022)

Non-line-of-sight imaging based on an untrained deep decoder network

Huazheng Wu, Shoupei Liu, Xiangfeng Meng, Xiulun Yang, and Yongkai Yin
Opt. Lett. 47(19) 5056-5059 (2022)

Non-line-of-sight imaging in the presence of scattering media using phasor fields

Pablo Luesia, Miguel Crespo, Adrian Jarabo, and Albert Redo-Sanchez
Opt. Lett. 47(15) 3796-3799 (2022)

Improving non-line-of-sight image reconstruction with weighting factors

Xiaohua Feng and Liang Gao
Opt. Lett. 45(14) 3921-3924 (2020)

Richardson–Lucy deconvolution of time histograms for high-resolution non-line-of-sight imaging based on a back-projection method

Chenfei Jin, Jiaheng Xie, Siqi Zhang, ZiJing Zhang, and Yuan Zhao
Opt. Lett. 43(23) 5885-5888 (2018)