Building human face models from two images

We present a practical technique for building 3-D human face models from two photographs. Rather than using expensive 3-D scanners, we show that frontal face models can be faithfully reconstructed with unsophisticated digital cameras in a totally non-invasive setup. We propose a rectification algorithm based on the fundamental matrix by computing the dual of the point transformation matrix. The image matching problem is converted into a maximal surface extraction problem which is then solved efficiently. Finally, the Euclidean approximation is achieved with the help of a novel factorization method for perspective cameras. Two examples are presented.