Zhongbiao Yuan

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The craniofacial reconstruction is employed as an initialization of the identification from skulls in forensics. In this paper, we present a two-level craniofacial reconstruction framework based on the local structural diversity of the skulls. On the low level, the holistic reconstruction is formulated as the superimposition of the selected tissue map on(More)
In this paper we present a novel craniofacial reconstruction method employing statistical tissue thickness information. The tissue thickness data gotten from CT images are represented as 2D tissue maps. The input (target) skull model is parameterized onto a 2D planar map and the landmarks are utilized to train a RBFN (radial basis function network), which(More)
The craniofacial reconstruction is employed as an initialization of the identification in forensics. In this paper we present a tissue map based craniofacial reconstruction technique. The reconstruction is formulated as the superimposition of the selected tissue map onto the novel skull. The key problem is the accurate map registration, which is implemented(More)
In forensics, the craniofacial reconstruction is employed as an initialization of the identification from skulls. It is a challenging work to develop such a system due to the ambiguity in the relationship between the shape of the skull and the face. In this paper, we present a facial feature estimation method based on the local structural diversity of(More)
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