Research Of Three-Dimensional Real-Time Imaging Technology Based On Array CCD

Three-Dimensional (3D) active imaging technology is a new optical detection technology, which is different from two-dimensional imaging. It can capture the overall space information of the target object, and it has been widely used in machine vision, human-computer interaction, target identification and tracking field. Compared with the traditional 3D imaging technology, non-scanning 3D imaging technology has the characteristics of high imaging speed, strong anti-interference ability, high spatial resolution and good concealment performance, and it has been the hot spot in the research of optical detection technology. In this paper, the principles and characteristics of non-scanning 3D imaging system based on indirect time of flight (TOF) and CCD(Charge-Coupled Device) sensors were studied and analyzed, it mainly contained the working mechanism, the system realization, the camera parameters calibration, and the final experimental verification part.Firstly, the technical principles of TOF was illustrated, and the principle of indirect TOF technology was introduced on the basis of TOF, which is based on the depth value distance curve to achieve distance measurement, and the image weighting method of obtaining the depth value and eliminating the influence of gray was presented. Then, the technical solutions and system configuration of the non-scanning 3D imaging based on the indirect TOF was described in the paper, which consist of a light source system, a light receiving system and a central control processing system.In the system implementation part, the hardware circuit and the software realization was the introduced. The hardware circuit of the system includes the selection and design of the main optics, the design of the laser pulse light source drive circuit and the design of the CCD drive circuit, and experimentally tests the drive circuit. In the Software implementation part, the software of the PC working module, including data acquisition, image preprocessing and deep image restoration was presented.The calibration of camera parameters mainly introduces the calibration of the geometric parameters of the camera, distance calibration and field of view (FOV) measurement. Calibrating the geometric parameters of the camera with Zhang Zhengyou calibration method, and in this paper the calibration process was described, and the camera was calibrated finally. In the distance calibration part, the method of obtaining the depth value distance curve was presented and analyzed in this paper. The transverse, longitudinal and maximum FOV are measured in the FOV measurement part.Indoor and outdoor application scenarios were selected in the experiment section. In the room, the same point on the same target object was measured at different distances several times, and the error was in the centimeter level. Outdoors, the measurement results well verified the filter effect of ambient light filtering.