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Method for automatically classifying three-dimensional models based on support vector machine

A support vector machine and three-dimensional model technology, applied in computer parts, character and pattern recognition, instruments, etc., can solve problems such as low precision, limited classification range, and inability to deal with non-rigid deformation, and achieve strong generalization performance and improved Calculation speed, effect of improving classification robustness

Inactive Publication Date: 2012-08-01
HAIAN JULI MAGNETIC MATERIAL CO LTD +1
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Problems solved by technology

[0007] In order to overcome the problems of limited classification scope, inability to cope with non-rigid deformation and low precision of existing classification methods, the present invention provides a method for automatic classification of 3D models, which automatically classifies 3D models or CAD models of general objects

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  • Method for automatically classifying three-dimensional models based on support vector machine
  • Method for automatically classifying three-dimensional models based on support vector machine
  • Method for automatically classifying three-dimensional models based on support vector machine

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Embodiment Construction

[0020] In conjunction with the accompanying drawings, the specific implementation steps are described in detail below.

[0021] as attached figure 1 As shown, the present invention realizes the general flow of three-dimensional model automatic classification, and the general flow chart includes each main step required to realize the final classification. First, given a 3D grid model, calculate the geodesic distance between any two vertices of the 3D model, then perform dimensionality reduction and eigendecomposition on the geodesic distance matrix to obtain the global features of the 3D grid model, which use the support vector mechanism Build a binary classifier to classify it, and use the "one-to-one" pairwise combination of the support vector machine binary classifier to form a multi-class classifier, and use this multi-class classifier to obtain classification results. In the testing stage, the acquired global features of the 3D grid model can be input to the support vecto...

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Abstract

The invention discloses a method for automatically classifying three-dimensional models based on a support vector machine. The method comprises the steps as follows: carrying out dimension reduction and characteristic decomposition on a geodesic distance matrix; creating binary classifiers for the characteristics of the three-dimensional models by using the support vector machine; and combining every two of the binary classifiers in a 'one-to-one' way by using the support vector machine to form a polynary classifier. According to the method, the three-dimensional models can be automatically classified, so that the robustness of the characteristic extraction process of the models is higher, the computing speed is higher, the characteristic extraction time is greatly shortened, and fewer three-dimension model training sample conditions can be well corresponded. The method has higher generalization performance and good expansion capability and non-linearity performance.

Description

technical field [0001] The invention relates to an automatic classification method of three-dimensional models. Background technique [0002] As the fourth-generation multimedia data type after sound, image and video, 3D model is the most intuitive and expressive multimedia information. With the rapid development of laser scanning technology, 3D modeling software technology and network technology, the creation and application of 3D models are becoming more and more extensive, and 3D model resources are becoming more and more abundant. The increase of enterprise product types and varieties and the expansion of product data scale make the classification research of 3D models in product design have important theoretical and engineering significance. As an emerging research hotspot in the field of computer graphics, shape-based 3D model classification has gained extensive attention in various fields such as model design of industrial products, virtual reality, simulation, 3D ga...

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Application Information

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IPC IPC(8): G06K9/62
Inventor 刘贞报张凤布树辉唐小军
Owner HAIAN JULI MAGNETIC MATERIAL CO LTD
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