Three-dimensional model classifying method based on feature matching

Abstract

The invention discloses a three-dimensional model classifying method based on feature matching. The method comprises the steps that Gaussian kernels of training vector sets are extracted and defined as multi-view-angle training Gaussian kernels and single-view-angle training Gaussian kernels, and the Gaussian kernels are defined as a multi-view-angle training feature library and a single-view-angle training feature library; a target function is constructed through multi-view-angle training features and single-view-angle training features and iterated to be minimum, and a feature matching matrix is obtained; a view is randomly drawn from a multi-view-angle color view set of all objects in to-be-classified data, initial single-view-angle views and class tags of all the objects are obtained, and after convolution neural network features of the single-view-angle views are extracted, the single-view-angle Gaussian kernels of the features are calculated and defined as the single-view-angle training feature library; the single-view-angle feature library is multiplied by a transfer function thereof, mapped features are obtained, the view angle training features are multiplied by the other transfer function thereof, mapped features are obtained, the cos distance between the features is calculated, and similarity is obtained. The limit that the features must be located in the same space is avoided.

Description

technical field [0001] The invention relates to the field of three-dimensional model classification, in particular to a three-dimensional model classification method based on feature matching. Background technique [0002] 3D models, as a more colorful multimedia data type than 2D pictures, are constantly improving and developing in recent years. On the one hand, the development of modeling tools, 3D scanners, and 3D graphics acceleration hardware has made it possible to access and generate high-quality 3D models. Especially the invention and use of Microsoft Kinect has effectively promoted and promoted this development trend. On the other hand, the development of computer graphics, the application of 3D models such as industrial product design, 3D scenes, virtual reality, etc. make 3D models widely disseminated and used. 3D Models in Entertainment [1] ,medicine [2] ,industry [3] The research and use of other application fields have been recognized. The ever-growing In...

AI Technical Summary

Problems solved by technology

[0005] The main challenges currently facing the field of view-based 3D model classification are: most methods focus on similarity calculations, and the workload of classifying a series of 2D images is large, which limits the scope of practical applications

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