【正文】 it indicates that the matching technique based on camera calibration is feasible and can give satisfying precision and results. Both of the methods do not need the camera’s intrinsic and outside parameters such as scale factor and image center, and the space point coordinate and its corresponding pixel coordinate is enough, which enable the methods easy to adopt and still high in precision. In addition, when Linear Partition Method is used, the number and the form of the partition should be determined by practical application and the image can be divided by other mode such as concentric circle or rectangle. Furthermore, not only linear but also other nonlinear calibration methods can be used in each partition. So the proposed method can solve the 3rd International Symposium on Instrumentation Science and Technology Aug. 18~22, 2020, Xi’an. China 1814 informationmatching problem efficiently, which provides a good foundation for future 3D color reconstruction and texture mapping 5. ACKNOWLEDGEMENTS This paper is supported by the National Nature Scientific Research Foundation (). REFERENCES [1] Sun Yuchen, Ge Baozhen, Zhang Yimo. Review for the 3D information measuring technology[J]. Journal of Optoelectronics ? Laser, 2020, 15(2): 248254.(in Chinese) [2] Petrov M., Talapov A. et al. Optical 3D digitizers: bringing life to the virtual world. Computer Graphics and Applications, IEEE, 1998, 18(3):2837. [3] Borghese ., Ferrigno G. et al. Autoscan: a flexible and portable 3D scanner. Computer Graphics and Applications, IEEE, 1998, 18(3):38–41. [4] Roger, Y. Tsai. A versatile camera calibration technique for highaccuracy 3D machine vision metrology using offtheshelf TV cameras and lenses[J]. IEEE Journal of Robotics and Automation,1987, RA3(4):323344. [5] W. Faig. Calibration of closerange Photogrammetry systems: Mathematical formulation. Photogrammetric Eng. Remote Sensing, 1975, 41:14791486. contact. Ge Baozhen, 。W image is divided by the form of 14 at the area where most of the points distributes and four transformation matrix is obtained. In order to verify the calibration precision, an object with edge length is measured according to the calibration results. Four images are captured and the mean relative error is % after putation. Doublelayer (without considering the input layer) BP Neural Network with six nodes in hidden layer is adopted to calibrate color sensor. The number of calibration points and testing points are 60 and 48 respectively. The mean absolute error in x direction is pixels and pixels in y direction. Real 3D color object made by pasting yellow, red and green paper on a cylinder is measured based on the calibration results of Bamp。W) cameras and color cameras. The matching between 3D coordinate and its color information in 3D color sensor can be realized by camera calibration. Many calibration techniques are proposed such as Direct Linear Transformation Method, FullScale Nonlinear Optimization Method, Two Stage Method and so on[4, 5]. In most of these methods, plicated camera model always need to be set up and many camera’s intrinsic and outside parameters need to be calculated, which always results in a plex and sometimes instable solution procedure. However, in many applications, the mapping relationship between space points’ coordinates and their pixels’ coordinates in the image is enough and camera’s intrinsic and outside parameters are redundant. Based on this concept, calibration technique with Linear Partition Method and BP Neural Network Method to 3D sensor and color sensor respectively is proposed and the matching between 3D and color information is realized. 2. PRINCIPLE OF CALIBRATION AND INFORMATION MATCHING Linear partition method and its solution procedure 3rd International Symposium on Instrumentatio