基于双向反射分布函数的非视域成像系统模型的仿真研究

Simulation Research of Non-line-of-sight Imaging System Based on Bidirectional Reflectance Distribution Function

为了研究现有非视域算法在不同反射特性下的性能,对非视域成像过程进行研究,选取基于物理渲染的双向分布函数,建立拟合真实环境的仿真系统.对目前非视域成像领域的频率波数域算法与光锥变换算法,进行仿真重建实验.研究了以上两种算法在不同粗糙度、入射角度、噪声等条件下重建的性能.仿真结果表明:反射特性的变化对光锥变换算法影响较大;噪声对频率波数域算法影响较大.基于实验结果的分析,改进频率波数域算法,仅利用测量数据的相位信息进行非视域重建.改进算法较好地重建了不同反射特性的目标物体,为进一步探究算法提供帮助.

The Non-Line-Of-Sight(NLOS)imaging process was studied to figure out the performance of existing NLOS algorithms under different reflection characteristics,with adopting physically based rendering bidirectional reflectance distribution function.Two state-of-the-art algorithms named f-k algorithm and Light-Cone Transform(LCT)algorithm are considered in the reconstruction using the proposed simulation system.The performance of the two algorithms are analyzed under various roughness,angles and niose.The simulation results show that:the change of reflection characteristics has a greater impact on the LCT algorithm;noise has a greater impact on the f-k algorithm.Based on the analysis of the experimental results,this article proposes an improvement to the f-k algorithm,merely using the phase information of the measured data for NLOS reconstruction.Improved algorithm is cpable to reconstruct target objects with different reflection characteristics,providing help for exploring further study.