Three-dimensional model acquisition of an object is essential in many multimedia applications. Constructing three-dimensional models of objects from two-dimensional images is an old problem in the area of computer vision. There are many publications and our approach is specifically designed for constructing the depth map of a human face on frontal view, based on the head movement in a monocular setting. Our approach does not require a predefined face model. In this paper, along with the front view image of the user, three additional images with various head movement are captured, and the head pose is then calculated. The depth map is calculated through a triangular mesh, which the nodes on the mesh are the feature points that we calculate the depth with. Through image registration process, the feature points on the front view image are mapped to the other three images. Based on the head pose and the newly mapped coordinate, we could calculate the depth of the feature point. The depth results calculated from each of the three images are combined together to find the final depth value. Our approach does not require additional hardware, or predefined models. The result is not as good as we wished, but suggests avenues for future.