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Method and device for assisting in identifying a wall body in CAD based on deep learning

A deep learning, wall technology, applied in geometric CAD, special data processing applications, instruments, etc., can solve the problem of low wall recognition accuracy, and achieve the effect of improving accuracy

Active Publication Date: 2018-11-13
HANGZHOU QUNHE INFORMATION TECHNOLOGIES CO LTD
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  • Claims
  • Application Information

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Problems solved by technology

[0006] The purpose of the present invention is to provide a method and device based on deep learning to assist in the identification of walls in CAD to solve the problem of low accuracy of wall identification

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  • Method and device for assisting in identifying a wall body in CAD based on deep learning
  • Method and device for assisting in identifying a wall body in CAD based on deep learning

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Embodiment Construction

[0024] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention are clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only Some, but not all, embodiments of the invention. 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.

[0025] When using the existing method to identify the wall, since the interference information such as furniture cannot be excluded more accurately, the identified wall contains some interference information, resulting in a low recognition accuracy.

[0026] In order to improve the recognition accuracy of walls, an embodiment of the present invention provides a method for ...

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Abstract

The invention discloses a method for assisting in identifying a wall body in CAD based on deep learning. The method comprises the following steps of acquiring and analyzing CAD file data correspondingto a house type image; acquiring a first wall body obtained by identifying the CAD file data; identifying the house type image corresponding to the CAD file data by utilizing a wall body identification model to obtain a second wall body; and carrying out cross verification on the first wall body by utilizing the second wall body to obtain a final wall body, wherein the wall body identification model is obtained by training based on a deep learning network. The invention further discloses a device for assisting in identifying the wall body in the CAD based on the deep learning. According to the method and the device, the accuracy of wall body identification can be improved.

Description

technical field [0001] The invention belongs to the technical field of architectural interior design, and in particular relates to a method and device for assisting in identifying walls in CAD based on deep learning. Background technique [0002] At present, architectural interior space design mainly relies on computer-aided design (Computer Aided Design, CAD) to draw. For the architectural interior space design drawing completed by CAD, identifying the interior wall of the building is of great significance for indoor area calculation, heating design, air supply design, and ventilation and air conditioning system design. [0003] Most of the existing wall recognition methods are based on the image features on the design drawing to identify the wall, specifically including: First, match the straight lines in the design drawing according to the geometric structure of furniture and other interfering objects, and consider that the similarity reaches a certain preset The line wi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/13G06F30/20
Inventor 王宇涵唐睿
Owner HANGZHOU QUNHE INFORMATION TECHNOLOGIES CO LTD
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