Our goal is to apply compressed sensing techniques in Time-of-Flight 3D imaging. This has the benefit of data size reduction by compressively measuring depth information. Through reducing the size of data, which may be transferred from the sensor to a computer or laptop, one makes it feasible to increase the resolution of the Time-of-Flight camera further. Thus, one can enhance the quality and precision of the acquired depth images by compressively measuring a scenery of interest via high resolution Time-of-Flight cameras. This is of interest, because by reducing data size using this method, one can effectively circumvent bottlenecks created by transfer rate limitations between storage or computing mediums.