Aiming at the problem of low efficiency and poor accuracy of scene design reconstruction due to defects in the currently collected scenes,an indoor scene design reconstruction based on lidar scanning and key point feature matching is proposed.The indoor scene image is directly collected through the Deleta 2B lidar sensor,and the gray value of the indoor scene image is curve fitted by the least squares fitting filter algorithm,and the key point features of the indoor scene image are matched according to the image feature vector.The triangulation algorithm connects the indoor scene point cloud data to construct a three dimensional grid model.The wallis filter is used to improve the recognition of the reconstruction and realize the reconstruction of the indoor scene.The experimental results show that the reconstructed indoor images of the method are highly identifiable,the signal to noise ratio can reach up to 49.8 dB,the image coverage of indoor scenes are above 90%,the structural similarity of the reconstructed scenes is close to 1,and the reconstruction time of the sub bedroom scenes is 59.2 h.