Non-visual-field single-input multiple-output three-dimensional reconstruction method for non-uniform fast Fourier transform

Abstract

The invention discloses a non-visual-field single-input multiple-output three-dimensional reconstruction method for non-uniform fast Fourier transform. A single-input multiple-output technology is introduced in the field of non-vision-field imaging for the first time, and an existing system is utilized to perform rapid imaging on a non-vision-field scene through non-uniform fast Fourier transform.The method comprises the following steps of non-uniformly scanning a reflection medium surface by adopting a laser, receiving a time-photon histogram of an echo by using a detector, preprocessing received data, and converting the received time-photon data into time-amplitude data, utilizing an optimization algorithm to solve the optimal time wave number spectrum for the preprocessed data througha two-dimensional non-uniform fast Fourier transform relation of the spatial dimension, and then performing one-dimensional fast Fourier transform on the time wave number spectrum in the time dimension, performing interpolation processing on the transformed frequency spectrum by using a single-input multi-output frequency domain algorithm, and performing inverse fast Fourier transform on the frequency spectrum after interpolation processing to obtain a non-vision-field scene three-dimensional reconstruction result.

Description

technical field [0001] The invention belongs to the field of laser non-line-of-sight imaging, and in particular relates to a non-line-of-sight three-dimensional reconstruction method based on non-uniform fast Fourier transform and single-input-multiple-output technology. Background technique [0002] In recent years, non-line-of-sight imaging technology has developed rapidly. It is a new imaging technology for two-dimensional or three-dimensional reconstruction of scenes outside the observer's visual area. It has good development in complex area detection, vehicle driving assistance, and medical imaging. Foreground: non-line-of-sight imaging mainly uses the time-of-flight data of the secondary echo in the detection area of ​​interest to reconstruct hidden target objects. [0003] The development of non-line-of-sight imaging has gone through several stages. From Kirmani et al., who first proposed the concept of recovering hidden objects based on time-of-flight, Velten et al. ...

AI Technical Summary

Problems solved by technology

[0006]Aiming at the existing non-line-of-sight imaging algorithm, relying on non-confocal system implementation, there are problems such as high computational complexity, low reconstruction accuracy, and relying on confocal system Realization, existing problems such as complex optical path design, measurement data easily interfered by secondary echo energy, etc., the present invention provides a non-uniform fast Fourier transform non-line-of-sight single-input multi-output three-dimensional reconstruction method, which can utilize non-common Focal system for simple and fast reconstruction of non-line-of-sight scenes with high precision

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