2015 Volume 15 Issue 1 Pages 51-57
In this paper, digital image correlation and a multi-view imaging system are being used to reconstruct 3D shapes of different parts of the human face and then aligning these parts using the Iterative Closest Point (ICP) algorithms to produce the full 3D shape of the human face. In addition, strain measurements on the surface of the skin that are caused by a facial expression are measured. The apparatus for the proposed method is environmentally friendly and consists mostly of camera equipment. The experiment apparatus and set up are, seven DSLR cameras that are mounted on a half circle light metal pipe, using camera clamps. In order to facilitate mobility and height adjustments, the half a circle frame is mounted on three tripods. A practical method for calibrating this system is done by using the designed double sided calibration board, with check marks on both sides that are aligned with each other and fitted into a photo frame which can be mounted on any standard tripod. A safe and practical method to apply a random speckle pattern on a human' s face is utilized by using an air brush make up set. Finally, the standard deviation of the matched points with respect to the template points are calculated.
