RECONSTRUCT 3D HUMAN FACE USING TWO ORTHOGONAL IMAGES

H. S. Mazumdar, Priyank Y. Chauhan

Abstract: As the 3D human face reconstruction is becoming very popular in recent times, it attracts many researchers. Construction of 3D human face using only two orthogonal images and twelve landmark features are the main context of the proposed approach. For3D object modeling, the Open Graphics Library (OpenGL) is used as the platform through which modeling, modification and rendering is performed on the morphable model. The proposed approach trails through semi-automatic identification of the facial landmark features, calculation of the 3D coordinates of human face, morphable model construction in OpenGL, reshaping of the morphable model and rendering of the morphable model. The facial landmark identification is semiautomatic method, as the module requires the manual interaction for marking the facial landmarks on the image. The reshaping of morphable model is required as the morphable model does not fit to the actual face in most of the cases. The morphable model is reshaped by calculating root mean square (RMS) error of face coordinates. The rendering process does not require a wide screen image because the approach performs rendering using input front face image and side face image as textures. Applications of this research help to overcome the disputes of fields like crime detection, 3D game characterization, the ornaments exhibition and in the area of medical technology like plastic surgery.

Keywords: Morphable model, Feature Identification, Face Reconstruction, Texture Mapping.

DOI: https://doi.org/10.15623/ijret.2014.0305113