Abstract
Lidar and CCD camera have the excellent ability of capturing 3D information of objects and they are widely used for 3D modeling. The effective fusion of 3D lidar image and CCD camera color image can give better results. The major problem of fusion lidar data and CCD camera data is the coordinate calibration between them. In consideration of the traits of lidar and CCD camera, a special 3D calibration object was designed, and an improved coordinate calibration method was proposed, which fits a plane using principal components analysis and can highly improve the calibration precision. After the lidar and CCD camera has been calibrated, the data they captured are transferred to fusion computer by USB and network. Data processing and display are achieved in fusion software written in C++ and OpenGL. Experiment results show that our real time image fusion system gives good result in the 3D reconstruction of objects, the imaging rate of the system can get to 5 frames per second.
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