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Three-dimensional model analytical processing method and device

A 3D model and analytical processing technology, which is applied in image data processing, 3D object recognition, neural learning methods, etc., can solve problems such as poor analytical recognition effect and incapable of 3D model analytical processing

Active Publication Date: 2021-01-19
BEIHANG UNIV
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Problems solved by technology

[0005] The present invention provides a method and device for analyzing and processing a three-dimensional model, which is used to solve the problem in the prior art that the analysis and processing of semantic categories cannot be performed on a three-dimensional model with an "inside-outside" structure, and the effect of analysis and recognition is poor

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  • Three-dimensional model analytical processing method and device
  • Three-dimensional model analytical processing method and device

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Embodiment Construction

[0052]In order to make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of the embodiments of the present invention, not all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0053]First, we will introduce the current research status of semantic analysis of 3D models in the prior art. Semantic analysis of three-dimensional models is one of the basic problems in the field of computer graphics. Semantic analysis of three-dimensional models plays an important role in applications such as model modeling, model...

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Abstract

The present invention provides a method and device for analyzing and processing a three-dimensional model, wherein the method includes: determining three kinds of adjacent relationship information of each part in the three-dimensional model; performing aggregation processing on all parts of the three-dimensional model to generate the three-dimensional model Three part hypothesis sets; perform voxelization expression processing on each part hypothesis in each part hypothesis set, and generate voxelization information of each part hypothesis; combine the voxels of all part hypotheses in each part hypothesis set The information is input into the recognition model to obtain the credibility score and semantic category probability distribution of each component hypothesis; according to the credibility score and semantic category probability distribution of each component hypothesis in the three component hypothesis sets, a high-level The first-order conditional random field model is used to obtain the semantic category analysis results of each part in the 3D model. It can analyze the semantic category of the 3D model with "inner-outer" structure, and the analysis effect is better.

Description

Technical field[0001]The invention relates to the technical field of virtual reality and augmented reality, in particular to a method and device for analyzing and processing a three-dimensional model.Background technique[0002]With the development of computer graphics, virtual reality technology and augmented reality technology, the application of 3D models has become more and more extensive. It is necessary to perform semantic analysis on the 3D model, that is, it is necessary to know which semantic category each part in the 3D model belongs to, where each semantic category is a structural category in the 3D model. For example, it is necessary to know whether the parts in the car's three-dimensional model belong to the semantic category of the door or the semantic category of the head.[0003]In the prior art, a projection-based semantic segmentation method for a three-dimensional model is used. This method proposes a novel two-type Hausdorff distance to match the binary image project...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V10/757G06N3/045G06F18/2413G06F18/23G06F18/2415G06V20/64G06N7/01G06T7/143G06T15/08G06T2207/20084G06T17/00G06T2207/20076G06T2207/20072G06T2207/20081G06V30/274G06F18/29
Inventor 陈小武王小刚周彬方海月赵沁平
Owner BEIHANG UNIV
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