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Three-dimensional model total segmentation method for sparse low-rank feature expression

A 3D model and feature expression technology, applied in 3D object recognition, image analysis, 3D modeling, etc., can solve the problem of low accuracy rate of co-segmentation results, and achieve the effect of maintaining global consistency and high accuracy rate

Active Publication Date: 2016-12-07
BEIHANG UNIV
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Problems solved by technology

[0005] The present invention provides a three-dimensional model co-segmentation method for sparse low-rank feature expression, which is used to solve the problem of low accuracy of the three-dimensional model co-segmentation results in the prior art

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  • Three-dimensional model total segmentation method for sparse low-rank feature expression
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  • Three-dimensional model total segmentation method for sparse low-rank feature expression

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Embodiment Construction

[0047] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0048] figure 1 A flow chart of the 3D model co-segmentation method for sparse low-rank feature representation provided in Embodiment 1 of the present invention, as shown in figure 1 As shown, the method of the present embodiment includes:

[0049] Step 101 , performing pre-segmentation on each 3D model in the 3D model category to obtain 3D...

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Abstract

The invention provides a three-dimensional model total segmentation method for sparse low-rank feature expression. The three-dimensional model total segmentation method includes the steps of pre-segmenting three-dimensional models in the three-dimensional model category to obtain three-dimensional model patch blocks of each three-dimensional model; conducting histogram construction of the three-dimensional model patch blocks of each three-dimensional model to obtain feature vectors of the patch blocks of each three-dimensional model; conducting sparse low rank expression processing for the feature vectors of the patch blocks of each three-dimensional model to obtain an expression coefficient and an expression error of each three-dimensional model; determining, according to the expression coefficient and the expression error of each three-dimensional model, a trust expression coefficient of each three-dimensional model; and clustering the trust expression coefficient of each three-dimensional model and total segmenting each three-dimensional model. The global consistency of the 3D model of the same type is maintained and the individual features of each individual 3D model are maintained. The multiple expression results are correctly combined and the correctness of the three-dimensional model total segmentation results is relatively high.

Description

technical field [0001] The invention relates to the technical field of computer graphics, in particular to a three-dimensional model co-segmentation method for sparse low-rank feature expression. Background technique [0002] With the continuous progress and development of computer science and technology, 3D model processing technology has become one of the important components of people's life, and 3D model processing technology needs to be used in fields such as film and television, medical treatment, and industrial production. Moreover, 3D model co-segmentation technology is one of the important basic technologies for 3D model understanding and processing. 3D model co-segmentation technology plays a huge role in various 3D technology fields such as 3D modeling, 3D animation, and 3D simulation. The 3D model co-segmentation technology refers to the technology that there are multiple models in the same category of models, and then the parts of these models are uniformly segm...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T19/20
CPCG06T19/20G06T17/30G06V20/64G06V40/103G06F18/2323G06F18/2136G06T7/11G06T7/60G06T17/00G06T2200/04
Inventor 陈小武郭侃赵沁平
Owner BEIHANG UNIV