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Artificial intelligence-based spatial object recognition and modeling method and system

A space object, artificial intelligence technology, applied in the field of 3D modeling, can solve problems such as calculation failure, difficulty in ensuring efficiency, and time-consuming, to achieve the effect of improving efficiency

Active Publication Date: 2021-11-30
TERRA DIGITAL CREATING SCI & TECH (BEIJING) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

First of all, it takes a lot of time to analyze the data each time, and it is difficult to guarantee its efficiency in actual project applications; second, when encountering complex structures of roof structures and building components, calculation failures may occur due to the discomfort of the algorithm and so on

Method used

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  • Artificial intelligence-based spatial object recognition and modeling method and system
  • Artificial intelligence-based spatial object recognition and modeling method and system
  • Artificial intelligence-based spatial object recognition and modeling method and system

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Embodiment 1

[0048] This embodiment provides a building construction method. The inventor found that, at present, urban building structures mainly include roof structures, building main components, etc., and these structures are all repeatable and have a fixed pattern. For example: flat roof, herringbone roof, single inclined saddle house, attic, balcony, door and window, platform, patio, building foundation, pillar, etc. Therefore, according to the embodiment of the present invention, a building model library is established according to the structure of different building main components, which can be reused during modeling. like figure 1 As shown, the method includes the following steps:

[0049] Step S101 , according to the pre-acquired laser scanning point cloud data or DSM data, a preliminary contour model of the modeling target is generated.

[0050]The laser scanning point cloud data is the coordinate data of the spatial sampling points of the real building surface obtained by th...

Embodiment 2

[0074] This embodiment provides an artificial intelligence-based spatial object recognition and modeling system corresponding to the above method embodiments, such as image 3 As shown, the system includes:

[0075] The contour model generation module 31 is used for generating a preliminary contour model of the modeling target according to the pre-acquired laser scanning point cloud data or DSM data;

[0076] Feature point extraction module 32, for extracting feature corner points from the preliminary contour model of the modeling target;

[0077] The model building module 33 is used to find out whether there is a model component matching the feature corner in the existing model component library; if so, retrieve the model component from the model component library to construct the model of the modeling target.

[0078] The contour model generation module 31 is further configured to extract contour information of the modeling target from pre-acquired laser scanning point clou...

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Abstract

The invention provides an artificial intelligence-based spatial object recognition and modeling method and system, belonging to the technical field of three-dimensional modeling. Among them, the artificial intelligence-based spatial object recognition and modeling method includes: generating a preliminary contour model of the modeling target based on pre-acquired data; combining the preliminary contour model of the modeling target, extracting features from laser scanning point cloud data or DSM data Corner point; check whether there is a model part matching the feature corner point in the existing model part library; if yes, call the model part from the model part library to build the model of the modeling target. The artificial intelligence-based spatial object recognition and modeling method and system provided by the embodiments of the present invention, after preprocessing the acquired laser scanning point cloud data or DSM data, extract effective feature corners and existing building component model libraries Perform matching, if the matching is successful, there is no need for redundant calculations, and the modeling of the model library model is directly called, which greatly improves the efficiency of building the building model, and there will be no calculation failure due to the complex structure of the building components.

Description

technical field [0001] The invention relates to the technical field of three-dimensional modeling, in particular, to a method and system for spatial object recognition and modeling based on artificial intelligence. Background technique [0002] In the process of urban artificial intelligence-based spatial object recognition and modeling based on scanned laser point cloud data or DSM (Digital Surface Model) data, there are mainly two existing modeling methods. The first is to manually extract the overall outline of the building directly from the laser point cloud data. This method mainly relies on manual optimization of building outline extraction to improve the accuracy of the building structure. The second is to layer the building point cloud data, then calculate and cluster similar layers in sequence, divide a whole building into different components, and then model them separately. This method is also fundamentally based on Each time the input laser point cloud data mode...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T17/10G06T7/13
CPCG06T17/10G06T2207/10028G06T7/13
Inventor 刘俊伟王娟池梦群
Owner TERRA DIGITAL CREATING SCI & TECH (BEIJING) CO LTD
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