Estimate of craniofacial geometry shape similarity based on principal warps
利用Principal Warps评估颅面几何相似度

An approach of 3D craniofacial geometry shape similarity estimation is proposed to solve the problem that current approaches mainly rely on subjective assessment for the lack of related quantities. In our approach the cranioface, which is to be compared, is transformed into another one in the database and its principal warps are computed to be the base for the representation of the shape change. First, the global landmarks are selected from the two craniofaces and the thin-plate spline function is used to establish a map between them. Then, the corresponding bending transformation matrix is computed. This matrix can be represented by the product of the principal warps and one coefficient matrix, which is used to measure the deformation degree of the craniofaces. Finally, the geometry similarity distance is defined on the basis of the coefficient matrix. Experimental results demonstrate the feasibility and effectiveness of the approach.