A visual processing system for facial prediction

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Abstract

In this paper, we describe a 2D and a 3D practical visual processing system for facial prediction in surgical correction of dento-maxillafacial deformities. For 2D system, we use adaptive filtering and edge detecting techniques and some artificial intelligent approaches to locate landmarks and make diagnostic decision on facial cephalogram and photo. For 3D system, we employ laser active triangulation principle to acquire range data of human face and reconstruct 3D high quality face image. The 2D system can realize the automation from landmark location to parameter measurement on cephalogram while the 3D system can make the diagnostic design of preoperation of orthognathic surgery more visual and accurate.

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APA

Xu, C., Wu, J., & Ma, S. (1999). A visual processing system for facial prediction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1614, pp. 735–744). Springer Verlag. https://doi.org/10.1007/3-540-48762-x_91

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