Method and device for judging shape similarity of ceramic three-dimensional grid model

Abstract

The invention discloses a method and device for discriminating similarity of ceramic three-dimensional grid models, wherein the method includes the following steps: taking two sets of ceramic three-dimensional grid models as input, and standardizing the input data; constructing a set of vertical plane, and intersect with two sets of ceramic 3D grid models after standardization, and the intersection lines obtained by each 3D grid model are arranged in sequence to form the first and second intersection line sequences PS A 、PS B ;Sequentially calculate the intersection line PS corresponding to the two intersection line sequences A i and intersect line PS B i to form the corresponding difference sequence S AB ; Then with the difference sequence S AB The statistical results of the two sets of ceramic 3D mesh models as the similarity. This method makes use of the representation characteristics of ceramic 3D mesh models. On the one hand, it converts the difficult-to-represent features of vessel shapes into intersecting line sequences composed of line segments; Similarity of model types.

Description

technical field [0001] The invention relates to the technical fields of computer vision and computer graphics, in particular to a method and device for discriminating similarity of ceramic three-dimensional mesh models. Background technique [0002] The similarity discrimination of ceramic wares is an important problem in the field of ceramic design, and it has a very wide range of applications in the fields of copyright protection and design reuse. Due to the limitations of the shape characteristics of ceramic products, it is difficult to directly evaluate the similarity of similar ceramic products in terms of shape. For example, a ceramic designer designs a porcelain bottle through 3D design software and exports the design result as a 3D mesh model Easy to show. For multiple 3D grid models of porcelain vases, the features of the vessel types contained in them are very similar, such as bottle mouth, bottle belly, bottle bottom, etc. Traditional similarity evaluation method...

AI Technical Summary

Problems solved by technology

For multiple 3D mesh models of porcelain vases, the features of the utensils contained in them are very similar, such as the mouth, belly, bottom, etc., and the traditional similarity evaluation methods cannot judge the similarity of the utensils well.

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