We demonstrate a generic method for visualization of high-resolution unorganized and noisy 3D data points with a surface of significantly lower resolution. To this effect, we feed our algorithm with all the go Light Detection And Ranging (LiDAR) data and approximate it with a triangular mesh that is being deformed iteratively until convergence. Our main contribution is avoiding the direct triangulation of LiDAR points, a cumbersome step common in literature.