Abstract
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.
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© 2000 Springer-Verlag Berlin Heidelberg
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Mao, Z., Sebert, P., Ayoub, A.F. (2000). Development of 3D Measuring Techniques for the Analysis of Facial Soft Tissue Change. In: Delp, S.L., DiGoia, A.M., Jaramaz, B. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2000. MICCAI 2000. Lecture Notes in Computer Science, vol 1935. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-40899-4_109
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DOI: https://doi.org/10.1007/978-3-540-40899-4_109
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-41189-5
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