A Denture Bridge Fusion Method for Oral Restoration
A fusion method and oral restoration technology, applied in the field of denture restoration, can solve the problems of increasing the size of the retainer, changing the tooth, boundary line and ridge line structure, and achieving the effect of good fusion effect, less calculation, and easy implementation.
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Embodiment 1
[0070] refer to figure 2 , the invention provides a denture bridge fusion method for oral restoration, comprising the steps of:
[0071] S1. Based on the bounding box algorithm, respectively establish the bounding boxes corresponding to the two adjacent models of the denture bridge fusion; the bounding box algorithm here can adopt the AABB tree bounding box algorithm, the OBB tree bounding box algorithm, etc.;
[0072] S2. After traversing the bounding boxes of the two adjacent models respectively, the intersection of the bounding boxes of the two models is obtained by solving, and then the intersection line between the two models is calculated, and finally the two models are calculated according to the intersection line. regional division;
[0073] S3. Calculating and filtering out redundant regions in the regions divided by the two models, and deleting them;
[0074] S4. Perform boundary matching and stitching on the two models after region deletion, and then perform smoo...
Embodiment 2
[0116] This embodiment is a specific example of Embodiment 1. This embodiment takes the tooth model and the connector model as examples to describe in detail how to perform the fusion, specifically including the following steps:
[0117] Step 1. Based on the AABB tree bounding box algorithm, respectively establish the AABB tree bounding boxes corresponding to the two adjacent models of the denture bridge fusion.
[0118] Since the denture bridge fusion tooth model, retainer model and connector model are all composed of triangle faces, the number of triangle faces is very large, and the efficiency of intersection detection in units of triangle faces is very low. In order to improve the detection efficiency, a more reliable solution is: the model first constructs the AABB tree, and then performs intersection detection. The AABB tree divides the model in the form of bounding boxes. If there is an intersection, then perform intersection detection on the triangles in the bounding b...
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