HOU L P,CHEN Y H. A fast reconstruction algorithm for outdoor disocclusion based on neural radiance field[J]. Microelectronics & Computer,2024,41(5):31-39. doi: 10.19304/J.ISSN1000-7180.2023.0290
Citation: HOU L P,CHEN Y H. A fast reconstruction algorithm for outdoor disocclusion based on neural radiance field[J]. Microelectronics & Computer,2024,41(5):31-39. doi: 10.19304/J.ISSN1000-7180.2023.0290

A fast reconstruction algorithm for outdoor disocclusion based on neural radiance field

  • The field of virtual reality relies on the technologies of 3D reconstruction and rendering. A key objective in this field is to enhance the quality of 3D reconstruction while also reducing the costs associated with this process. The neural radiance field technique has emerged as a potential solution to this problem, as it can generate high-quality reconstructions with reduced reconstruction thresholds by using multi-view images captured from mobile devices like cameras. However, the success of the neural radiation field approach is largely dependent on laboratory conditions and can encounter difficulties when used in real outdoor environments due to transient object occlusion. Furthermore, existing neural radiation fields fail to meet users' expectations for fast reconstructions. To overcome these challenges, this study introduces a new model named FoRF, which incorporates multi-resolution hash encoding and modifies the network structure to accelerate the modeling speed. To address the issue of transient object occlusion, transient embedding is introduced. The experimental results demonstrate that the proposed model effectively reconstructs scenes from images captured using mobile devices and can rapidly model and eliminate the impact of transient object occlusion on reconstruction results.
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