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Six craniofacial reconstructions were produced using three-dimensional modeling software from 3D skull images of live Korean adult subjects generated by cone-beam computerized tomography. The six craniofacial reconstructions were divided into two groups: three created using an outdated Korean averaged facial soft tissue thickness dataset, and three created using a recent one. The accuracies for six craniofacial reconstructions were measured using face-pool comparison and geometric surface comparison methods to estimate the influential level of average facial soft tissue depth datasets to craniofacial reconstructions.

An investigation of environmental factors influencing quantitative accuracy and recognition rate of craniofacial reconstructions