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Three-dimensional facial information is very important for assessing the influence of clef lip repair and measuring the facial growth between cleft and non-cleft children. In this paper, 3D techniques for measuring facial soft tissue change and extracting useful 3D shape information are presented. Firstly, a robust 3D registration algorithm which combines landmark-based and surface-based registration techniques is described. It uses a new surface-based registration algorithm – HICP algorithm to refine landmark-based alignment. We then describe a graphical user interface for manually extracting 3D facial landmarks. Experimental tests on both simulated surface data and real facial scans have been carried out to validate the HICP algorithm.

Development of 3D Measuring Techniques for the Analysis of Facial Soft Tissue Change