Automatic registration method and device for three-dimensional skull

Abstract

The present application provides an automatic registration method and device for a three-dimensional skull. In the present invention, an edge type classifier is first trained, and then the edge of the three-dimensional skull to be registered is extracted to obtain the edge of the three-dimensional hole, and shape distribution features are extracted for all three-dimensional hole edges, and the edge type classifier is used to automatically classify the edge of the three-dimensional hole as the orbital edge , the edge of the nose frame, etc., and then perform PCA on all the edge points on the edge of the nose frame to determine a unified coordinate system, so as to adjust the initial position and posture of the 3D skull to be registered, and then use the CPD algorithm to The corresponding relationship with the edge of the reference skull realizes the registration of the edge area. Finally, CSRBF is used to adjust the area where the registration error between the 3D skull to be registered and the reference skull is large, so as to realize the accurate registration of the 3D skull to be registered and the entire skull area of ​​the reference skull. allow.

Description

technical field [0001] This application relates to computer technology, in particular to a method and device for automatic registration of three-dimensional skulls. Background technique [0002] Establishing the accurate point-to-point correspondence of the 3D skull model through registration is the premise and basis for the statistical analysis of the skull morphology and the restoration of the skull appearance. However, due to the complex shape and topology of the skull, large individual differences, and the absence of teeth and partial skulls, the automatic registration of 3D skull models has always been a difficult problem and challenge. [0003] At present, the commonly used method for the automatic registration of the 3D skull model is: first use the Iterative Closest Point (ICP) algorithm to perform coarse registration of the 3D skull model, and then perform fine registration on this basis. [0004] However, when the initial positions of the two 3D skull models diffe...

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Problems solved by technology

[0004] However, when the initial positions of the two 3D skull models differ greatly, the ICP algorithm is prone to fall into local optimum and cannot be correctly registered.

What's more, the topological structure of the 3D skull model is complex, and there are many holes on the front and side, and the existing ICP algorithm cannot achieve accurate registration of these holes

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