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Article Dans Une Revue Computational and Mathematical Methods in Medicine Année : 2014

Craniofacial Reconstruction Evaluation by Geodesic Network

Résumé

Craniofacial reconstruction is to estimate an individual’s face model from its skull. It has a widespread application in forensicmedicine, archeology, medical cosmetic surgery, and so forth. However, little attention is paid to the evaluation of craniofacialreconstruction. This paper proposes an objective method to evaluate globally and locally the reconstructed craniofacial facesbased on the geodesic network. Firstly, the geodesic networks of the reconstructed craniofacial face and the original face are built,respectively, by geodesics and isogeodesics, whose intersections are network vertices. Then, the absolute value of the correlationcoefficient of the features of all corresponding geodesic network vertices between two models is taken as the holistic similarity,where the weighted average of the shape index values in a neighborhood is defined as the feature of each network vertex.Moreover,the geodesic network vertices of each model are divided into six subareas, that is, forehead, eyes, nose, mouth, cheeks, and chin,and the local similarity is measured for each subarea. Experiments using 100 pairs of reconstructed craniofacial faces and theircorresponding original faces show that the evaluation by our method is roughly consistent with the subjective evaluation derivedfrom thirty-five persons in five groups.

Dates et versions

hal-01095574 , version 1 (15-12-2014)

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Junli Zhao, Cuiting Liu, Zhongke Wu, Fuqing Duan, Kang Wang, et al.. Craniofacial Reconstruction Evaluation by Geodesic Network. Computational and Mathematical Methods in Medicine, 2014, 2014, 9 p. ⟨10.1155/2014/943647⟩. ⟨hal-01095574⟩
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