Local matching method of three-dimensional model

Abstract

The invention discloses a local matching method of a three-dimensional model. The method comprises the following steps of: calculating the bending salience of any vertex of the three-dimensional model; generating a sequencing list according to the bending salience and carrying out region growing to form a local vertex set; carrying out secondary surface fitting according to the local vertex set formed by the region growing; identifying a fitting region to be a three-dimensional model local subblock and extracting the features of the three-dimensional model local subblock; carrying out featurecomparison and local matching on the three-dimensional model local subblock; and carrying out overall feature comparison and overall matching on the three-dimensional model. The method disclosed by the invention can be used for matching locals of the three-dimensional model, realizing the local-to-local retrieval and the local-to-overall retrieval of the three-dimensional model and extracting obvious region features of the locals, thereby increasing the matching precision of the method; and shape normalization is not needed any more in a feature extracting process, thereby the stability of feature extraction is guaranteed.

Description

technical field [0001] The invention relates to a local matching method of a three-dimensional model. Background technique [0002] With the popularization of 3D model scanning equipment and the extensive use of modeling software such as CATIA, AutoCAD, Maya, 3DMax, 3D models have been widely used in various fields, including computer-aided design and manufacturing, multimedia, animation, games, 3D film and television , medicine, biology, face recognition and other important fields. The existence of a huge number of models makes the retrieval of 3D models very urgent. In addition, due to the complexity of 3D model design, the reuse of 3D models can greatly improve the efficiency of designers. At the same time, the recognition of 3D models can be applied to fields such as 3D model verification. . However, applications such as 3D model retrieval, reuse, and recognition depend on the technical foundation of 3D model matching. [0003] 3D model matching and retrieval technolo...

AI Technical Summary

Problems solved by technology

[0008] In order to overcome the deficiencies of the existing technology, such as the global matching method only, the inability to extract local salient regions, and the influence of shape normalization on stability, the present invention provides a local matching method for 3D models, which can match the local parts of the 3D model, and can realize Local-to-local retrieval and local-to-global retrieval of 3D models; local salient region features can be extracted, which increases the matching accuracy of the method; the feature extraction process no longer requires shape normalization, ensuring the stability of feature extraction

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