3ds Max fast and precise three-dimensional modeling method and system based on point cloud

A 3D modeling and point cloud technology, applied in image enhancement, instrumentation, computing, etc., can solve problems such as cumbersome work and low efficiency, and achieve the effect of assisting manual modeling operations and avoiding unsmooth operations.

Active Publication Date: 2016-02-24
WUHAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The data needs to be imported and exported back and forth between the point cloud processing software system and the 3D modeling system, and repeated manual checking, the work is very cumbersome and inefficient

Method used

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  • 3ds Max fast and precise three-dimensional modeling method and system based on point cloud
  • 3ds Max fast and precise three-dimensional modeling method and system based on point cloud

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Embodiment Construction

[0037] The technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0038] like figure 1 As shown, the specific implementation process of the method provided by the embodiment of the present invention from the original point cloud to the model construction is as follows:

[0039] Step 1. Point cloud preprocessing;

[0040] The point cloud data acquired by airborne or vehicle-mounted lidar is a series of discontinuous three-dimensional space coordinate points, which are irregular and discretely distributed, with a huge amount of data and a large amount of data redundancy, so denoising and effective organization are required and index for subsequent processing.

[0041] For the flow chart of point cloud data preprocessing in the embodiment, see figure 2 , including point cloud denoising, then fast clustering and building a K-D tree, and then point cloud thinning.

[0042] In the embodiment,...

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Abstract

The invention provides a 3ds Max fast and precise three-dimensional modeling method and system based on point cloud. The method comprises the following steps: preprocessing point cloud, comprising carrying out point cloud denoising on point cloud data obtained by an airborne or vehicle-mounted laser radar at first, carrying out fast clustering, constructing a K-D tree, and carrying out point cloud thinning; providing a thumbnail of all point cloud according to the central point of each clustered category based on 3ds Max; generating local point cloud, when a user selects a building corner, obtaining neighborhood point cloud through the K-D tree of the belonging category, using a corner extraction algorithm to extract all corners from the neighborhood point cloud to serve as feature points, carrying out plane fitting on the point cloud data in the neighborhood point cloud to obtain a planar intersecting line, and using the planar intersecting line as a feature line; correcting a measurement point of the user according to the feature points, when the user carries out line measurement, searching a contour line of a drawn building to correct the line measurement of the user; and modeling according to the building contour based on 3ds Max.

Description

technical field [0001] The invention relates to the field of three-dimensional modeling of a digital city, in particular to a point cloud-based 3dsMax fast and precise three-dimensional modeling method and system. Background technique [0002] At present, there are three main methods of digital city modeling: artificial modeling using 3D modeling software, modeling using laser point cloud, and modeling using aerial stereo pairs. Modeling with 3D modeling software, such as 3dsMax, AutoCAD, and SketchUp is a traditional method. Although it can guarantee the fineness of the model, it cannot meet the needs of large-scale rapid modeling of cities. Aerial images have advantages in cost, coverage, and automation. Buildings can be reconstructed in 3D by matching point clouds or extracting line elements. However, in terms of texture reconstruction, since aerial images only look down, they often appear Occlusion and shooting blind spots lead to the loss of texture information on the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T19/00G06T5/00
Inventor 黄玉春孙慧丁亚兰袁野
Owner WUHAN UNIV
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