A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Iterative point matching for registration of free-form curves and surfaces
International Journal of Computer Vision
Image-Based 3D Planning of Maxillofacial Distraction Procedures Including Soft Tissue Implications
MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
Incremental kernel ridge regression for the prediction of soft tissue deformations
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
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Prediction of the facial outcome after maxillofacial surgery is not only of major interest for surgeons but also for patients. A mirrorlike image of the expected surgical outcome gives important information for the patient and provides the surgeon with a good communication tool. This paper presents a method for registration of 3D photographs with 3D CT images, to provide the patient with a realistic view of the natural complexion of the simulated postoperative outcome of his/her face. A rigid ICP-based registration algorithm, followed by a non-rigid transformation produces a close match between the two surfaces.