3-Dimensional Beta-spline wireframe of human face contours

Human head is one of the most detail parts of human body. Reconstruction of human head must be precise to avoid misinformation of the product. Furthermore, head reconstruction especially face is used in several significant applications such as face recognition, head surgery, and face simulation. This study employs cubic Beta-spline as the fitted curve based on its capability to maintain the second degree of continuity, and its shape parameters which can be controlled locally. 69 layers of 2-dimensional human head contours from Computerised Tomography (CT) images are used in this research. Contour points of each layer are extracted, and fitted with piecewise cubic Beta-spline curves. All the layers then stacked together and form a Beta-spline head wireframe. The result shows that Beta-spline gives necessary smooth images and preserves important features of the head and face.