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A method called local point density approach is presented for solving the difficulty of radius selection for point-based data integration in 3D model reconstruction by Ladar (laser radar) range images. After data integration, a set of points is properly selected for point density computing by setting the radius with different values. An optimal radius can be obtained when the variance of the point density is minimum. The algorithm is easy to adopt. The experimental results demonstrate the efficiency of the proposed approach.