Coded targets and hybrid grids for photogrammetric 3D digitisation of human faces

The three-dimensional (3D) measure of the human body is currently performed using mostly optical technologies. One of the most cost effective non-contact techniques is photogrammetry; its main disadvantage is the lack of automation because the correspondences between the same points in different images must be taken manually. In this paper the authors present a properly designed low-cost photogrammetric system for 3D scanning of human faces. Results are compared projecting onto the faces patterns composed by coded targets and mixed coded-uncoded targets.