The Integration Of 3D Reconstruction System Based On Single Encoded Image

This paper mainly focuses on the integration of 3D reconstruction system from single encoded image based on the multicolor code of pseudo-random array and flexible pre-calibrated 3D reconstruction technology, which integrates from an encoded image to 3D Euclidean reconstruction at last. It can recover the 3D data and reconstruct the 3D shape of scene by a LCD projector whose parameters need to be pre-calibrated and a CCD camera whose parameters are allowed to change with the varying scene.The integrated system mainly contains three parts as follows: The method of interest point detection and correspondence is decided by the multicolor code of pseudo-random array principle which made the 3D scene characterization. The multicolor code of pseudo-random array is projected to the surface of 3D scene. Then do some pre-process to the images captured by the CCD camera, and detect the interest point with the improved Harris corner detector. Each interest point on scene surface can be identified exclusively and the problem of interest point correspondence between images can be solved according to the window property of pseudo-random array. The vision system of 3D reconstruction is equal to typical stereo vision system because the projector is regarded as inverse camera, in which the lens distortion of camera must be pre-calibrated to guarantee the precision of projector pre-calibration, and the intrinsic and extrinsic parameters of camera can be modified according to the changing scene. The reconstruction algorithm is based on stratification idea. The imaging models of camera and projector are founded on four strata as Projective stratum, Affine stratum, Metric stratum and Euclidean stratum. At last, the idea of 3D Euclidean reconstruction of single image can be carried out.