Finding best focused points using intersection of two lines

In this paper we present a method for depth estimation using image focus for 3D shape recovery. The method is based on the regression model. First the sequence of images is processed using Laplacian operator and the first estimate for the maximum value is found. Two datasets are selected for each pixel based on that maximum value. For each of the two datasets, a straight line is approximated to fit each of the dataset. Least squares method is used to find the best fit. The intersection point of the two lines is computed and weights are used so that the final depth map can be obtained. Finally, averaging filter is used to remove noise. The proposed method is compared with earlier depth estimation algorithms using various test objects.