This paper presents a novel algorithm for automatic 3D head model reconstruction from frontal and profile photographs. We propose an innovative approach for the 3D head model creation based on a previous parameterized model research. We show the new way of estimating reconstructed 3D head model geometry from predefined model by hierarchical tree of facial features. Our reconstruction algorithm works in three phases. In the first one we use two computer vision techniques; Skin-Tone based image segmentation and Haar Cascade Classifiers to detect head parameters from input images. In the second phase predefined model geometry is adjusted to reach similar properties to the real head. In the third phase the color texture and normal map texture are created and mapped on the reconstructed geometry. Finally we incorporated our reconstruction algorithm to the 3D Head Modeling System application. Created modeling system is capable to reconstruct 3D head model from input photographs, to render it by advanced rendering techniques approximating subsurface scattering in real-time and to export the model into the Collada file format for further use in the other applications. Proposed algorithm for automatic image-based 3D head reconstruction can be used e.g. in computer games development, in the movies creation, in telecommunications to lower the data transfer, in medicine, or in the security systems for human identification.