Dense-point-cloud-based rapid construction method of urban three-dimensional model

A 3D model and dense point cloud technology, applied in 3D modeling, image data processing, instruments, etc., can solve the problems of poor texture quality, cumbersome steps, and low construction efficiency, and achieve high texture quality, high construction efficiency, and effective real effect

Active Publication Date: 2015-12-30
浙江中测新图地理信息技术有限公司
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Problems solved by technology

[0004] The above-mentioned solution has improved some problems of the prior art to a certain extent, but this solution still has at least the following defects: cumbersome steps, low construction efficiency, and technical problems of poor texture quality

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  • Dense-point-cloud-based rapid construction method of urban three-dimensional model
  • Dense-point-cloud-based rapid construction method of urban three-dimensional model
  • Dense-point-cloud-based rapid construction method of urban three-dimensional model

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Embodiment Construction

[0043] Combine below Attached drawing The present invention will be further described in detail with the specific embodiments.

[0044] Such as Figure 1-3 As shown, this method for quickly constructing a city 3D model based on dense point clouds includes the following steps:

[0045] A. Point cloud adaptive block: The point cloud data is adaptively divided into blocks. According to the determined threshold range, it is ensured that the number of points in each block is within the set threshold range, and each block is dynamically based on the distribution of points The width of each block changes dynamically with the density of points;

[0046] B. Construction of TIN in blocks: In the divided blocks, construct the three-dimensional TIN model respectively;

[0047] C. Texture selection: For each surface of the 3D TIN model, select the best quality image from the multi-view oblique image as the texture data source;

[0048] D. Texture extraction: After selecting the best quality textu...

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Abstract

The invention, which belongs to the technical field of construction of an urban three-dimensional model, especially relates to a dense-point-cloud-based rapid construction method of an urban three-dimensional model. With the method, technical problems of low efficiency and the like in the prior art can be solved. The dense-point-cloud-based rapid construction method comprises: A, carrying out adaptive blocking on point cloud data; B, carrying out three-dimensional TIN model construction on the divided blocks; C, selecting an image with the best quality from a multi-view slanted image for each surface of the three-dimensional TIN model and using the image as a texture data source; D, after selection of the texture data sources with the best qualities, carrying out texture extraction; E, carrying out substitution of textures of shielded parts to complete vulnerability repairing of the textures; and F, pasting the preferably selected textures to the surface of the three-dimensional TIN model to generate a three-dimensional model with a lifelike effect. The method has advantages: firstly, the construction efficiency is high; and secondly, the texture quality is improved and the lifelike effect is realized.

Description

technical field [0001] The invention belongs to the technical field of building three-dimensional models of cities, and in particular relates to a method for rapidly building three-dimensional models of cities based on dense point clouds. Background technique [0002] Dense point cloud is an intermediate product in the process of oblique photogrammetry to produce a 3D city model. It is a series of large-scale point data containing 3D geometric information of objects extracted through steps such as aerial image matching, region growth, and gross error removal. Point cloud is a collection of spatial data, which is characterized by a large amount of data and a small distance between data, usually with tens of thousands or more points, and a huge storage capacity. At present, in the process of building a 3D city model, the extracted point cloud data is often unevenly distributed. In the process of finding the best matching point each time, the amount of calculation is huge, and ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T17/30
Inventor 李英成廖明王恩泉张金龙俞凯杰敖楠唐泽彬叶冬梅孙攀
Owner 浙江中测新图地理信息技术有限公司
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