Non-line-of-sight (NLOS) imaging technology differs from traditional visual field imaging by enabling the detection of hidden targets beyond the line of sight through advanced optical imaging techniques. This involves capturing information about hidden targets through photon multiple scattering and subsequently reconstructing the target′s image using appropriate algorithms. As such, image reconstruction technology plays a crucial role in evaluating the effectiveness of NLOS imaging systems. In this paper, image reconstruction technologies are analyzed and summarized, and are divided into four categories: classical back projection image reconstruction method, wave field based image reconstruction method, image reconstruction method based on optimization and deep learning reconstruction method, then the characteristics and applicable scenarios are compared and analyzed among the different reconstruction techniques. Finally, the paper discusses the current progress and future prospects of 3D image reconstruction technology in the context of NLOS imaging.