Yan Zhiqiang, Wang Hongyuan, Wang Zebin, Liu Xiang, Ning Qianhao
Appl Opt. 2022 Jun 20;61(18):5474-5482. doi: 10.1364/AO.458940.
The time-of-flight (ToF) camera suffers from many error factors, such as multiple reflection or multipath interference and electronic and optical shot noise, making it difficult to simulate its imaging process. Aiming to test the ToF camera algorithm, it is important to obtain a depth image affected by these error factors. In order to model the light propagation behavior and the sensor effect in the imaging process of the ToF camera, an amplitude modulated continuous-wave (AMCW) ToF camera imaging simulation method based on path tracking is presented by deducing the path tracking algorithm model in the AMCW ToF camera theoretically and by realizing the physically based simulation by introducing the infrared bidirectional reflectance distribution function (BRDF) data of the actual materials. According to the constructed error evaluation indexes, the correctness of the imaging simulation method is verified based on the ground experiment. The mean absolute error (MAE) and root mean square error (RMSE) are 10.32 mm and 15.12 mm, respectively, which are less than the error results of the other two comparative simulation methods. The results show that the proposed method is reasonable and can provide reliable data support for AMCW ToF hardware development and algorithm testing.
飞行时间(ToF)相机存在许多误差因素,如多次反射或多径干扰以及电子和光学散粒噪声,这使得模拟其成像过程变得困难。为了测试ToF相机算法,获取受这些误差因素影响的深度图像非常重要。为了对ToF相机成像过程中的光传播行为和传感器效应进行建模,通过理论推导AMCW ToF相机中的路径跟踪算法模型,并引入实际材料的红外双向反射分布函数(BRDF)数据来实现基于物理的模拟,提出了一种基于路径跟踪的幅度调制连续波(AMCW)ToF相机成像模拟方法。根据构建的误差评估指标,基于地面实验验证了成像模拟方法的正确性。平均绝对误差(MAE)和均方根误差(RMSE)分别为10.32毫米和15.12毫米,均小于其他两种对比模拟方法的误差结果。结果表明,所提方法合理,可为AMCW ToF硬件开发和算法测试提供可靠的数据支持。