3D data processing for enhancement of face scanner data

The data acquired by 3D face scanners have distortions such as spikes, holes and noise. Enhancement of 3D face data by removing these distortions while keeping the face features is important for the applications using these data. In this study, thresholding is used for removing spikes, thresholding together with face symmetry is used for hole filling and bilateral filtering is used for smoothing and satisfactory results are obtained on FRGC 3D face data.