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Three-dimensional model expression mode based on implicit template

A technology of 3D models and templates, applied in biological neural network models, 3D modeling, neural learning methods, etc., can solve problems such as consuming large computing resources

Inactive Publication Date: 2020-11-13
北京未澜科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traditional 3D scene representation methods include point clouds, voxels, polygonal grids, multi-view images, etc., but these methods discretize the scene. When high-precision scenes need to be expressed, these representation methods often consume a lot of computing resources.

Method used

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  • Three-dimensional model expression mode based on implicit template
  • Three-dimensional model expression mode based on implicit template

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Embodiment Construction

[0023] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0024] The expression method of the 3D model based on the implicit template provided by the embodiment of the present application will be described below with reference to the accompanying drawings.

[0025] together with reference figure 1 The 3D model expression method based on the implicit template in the embodiment of the present application includes: obtaining different types of 3D model databases with high precision through 3D modeling;

[0026] The 3D model in the 3D model database is processed to extract the signed distance field (Signed DistanceField).

[0027] The following steps are re...

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Abstract

The invention provides a three-dimensional model expression mode based on an implicit template, which comprises the following steps of: obtaining different types of high-precision three-dimensional model databases through three-dimensional modeling; processing the three-dimensional model database, and extracting a symbolic distance field; an encoder decoder network used for cracking the symbol distance field is built; wherein the encoder decoder network comprises an implicit template mapping network and a symbol distance decoding network; constructing an L1 norm and constraint-based training loss function for constraining the symbolic distance field; and testing the input implicit code, and extracting the corresponding three-dimensional model. By the adoption of the expression mode, computing resources are greatly reduced.

Description

technical field [0001] The invention relates to the technical field of computer data representation, in particular to a three-dimensional model expression method based on an implicit template. Background technique [0002] How to represent a 3D scene is very important for computer scene understanding and robot behavior control. Traditional 3D scene representation methods include point clouds, voxels, polygonal grids, multi-view images, etc., but these methods discretize the scene. When high-precision scenes need to be expressed, these representation methods often consume a lot of computing resources. . Contents of the invention [0003] In view of this, the present invention provides a 3D model expression method based on an implicit template that greatly reduces computing resources. The 3D model expression method based on an implicit template includes: a corresponding 3D model; wherein, extracting the corresponding 3D model include the following steps: [0004] Obtain h...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T17/20G06T15/20G06N3/04G06N3/08
CPCG06T17/20G06T15/205G06N3/08G06N3/044G06N3/045
Inventor 郑泽荣戴翘楚于涛
Owner 北京未澜科技有限公司