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The object shooting environment has the characteristics of large amount of measurement data and complex information on the contours of the object. The current method can obtain the accurate 3D point cloud data, but lacks the color and texture information, which leads to the high accuracy of the object reconstruction and the lack of realism. In this paper, a method of object reconstruction based on 3D laser scanning is proposed. The method uses the three-dimensional laser scanning technique to obtain the object point cloud data, uses the explicit Euler integral method to smooth the whole three-dimensional surface of the object, and divides the three-dimensional space of the object according to the triangular growth method, maps the vertex of the object to the spherical surface, In this paper, the triangular mesh model of the object is used to calculate the initial matching result of the non-synchronized point cloud data by the iterative nearest point algorithm. The nearest object search algorithm is used to optimize the object color information and the three-dimensional point Cloud data coordinates. The experimental results show that the proposed method can quickly and accurately establish the 3D reconstruction model of the object, and verify the feasibility of the proposed method.