从压缩感知的原理入手，阐述了基于压缩感知的三维物体成像方法。为解决压缩感知三维物体成像计算量大的问题，重点提出了一种三维信息计算的简单方法。此方法通过两次压缩感知计算就可得到位于多个距离处的物体的三维信息，大大减少了计算量。对此方法进行了数值模拟，并分析了采样率的提高对于距离计算精度的影响；建立实际的三维成像系统，实验结果证明了这种方法的可行性。

Based on the compressed sensing (CS) theory, an imaging process for three-dimensional (3D) objects is illustrated. In order to solve the problem that the calculation of the 3D imaging based on CS is too large, a simple method of 3D information calculation is proposed, by which only two CS processes are needed to obtain 3D information of objects located at several distances, thus reducing computation greatly. Then, the 3D imaging process is simulated to illustrate the effect of sampling rate on the precision of distance calculations. A real 3D imaging system is built, which shows that this method is workable.