Linear feature extracting method for three-dimensional point cloud

A technology of straight line features and extraction methods, applied in image data processing, 3D image processing, instruments, etc., can solve problems such as false positive detection, wrong straight line, false negative detection, etc., achieve reliable results and reduce complexity.

Active Publication Date: 2014-07-23
XIAMEN UNIV
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Problems solved by technology

This method has some obvious disadvantages: firstly, the method of Hough transform tends to cause a lot of false detections in areas with high-density edges; secondly, because the gradient direction of edge points is not considered, this method is easy to produce abnormal directions the straight line; finally, using a fixed threshold makes the method prone to significant false positives or false negatives
However, the method ba

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  • Linear feature extracting method for three-dimensional point cloud
  • Linear feature extracting method for three-dimensional point cloud
  • Linear feature extracting method for three-dimensional point cloud

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[0046] see figure 1 , the invention discloses a method for extracting straight line features from a three-dimensional point cloud, which comprises the following steps:

[0047] S1. Project the original point cloud into the two-dimensional space along different directions, generate multiple 2D images and retain the depth information, and use non-realistic rendering technology to convert the depth information into image gray values, so that the 2D image has clear edges.

[0048] Non-photorealistic rendering techniques such as Global Illumination Model, Screen Space Ambient Lighting (SSAO), and EDL can make 2D images have sharp edges. The global illumination model is usually used to enhance the relief and edge information of the surface. Using such a model often requires a lot of computing time and its normal vector and other information, so it is not suitable for large-scale 3D point cloud processing. SSAO and EDL only use the image depth information and run in the image coordi...

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Abstract

The invention discloses a linear feature extracting method for three-dimensional point cloud. The linear feature extracting method for the three-dimensional point cloud includes the following steps: S1, projecting an original point cloud to a two-dimensional space along different directions to generate a plurality of two-dimensional images, keeping the depth information, using a non-photorealistic rendering technology to convert the depth information into an image grey value, and enabling each two-dimensional image to have clear edges; S2, extracting a two-dimensional linear support area from the two-dimensional image; S3, projecting the two-dimensional linear support area to the three-dimensional space to obtain a three-dimensional linear support area. By means of projection and back projection, the extraction for the three-dimensional linear support area is converted into the extraction for the two-dimensional linear support area, the data processing complexity is lowered, and linear features can be quickly and precisely extracted from large amount of point cloud data.

Description

technical field [0001] The invention relates to the field of three-dimensional point cloud processing, in particular to a method for extracting straight line features of a three-dimensional point cloud. Background technique [0002] The linear structure of point cloud includes curved structure and straight line structure. In view of the fact that most man-made objects have planar features and the intersection of two planes is a straight line, using a straight line to represent the point cloud structure becomes a natural and appropriate choice. For the extraction of straight line features, most of the research results focus on 2D images, including the straight line extraction of a single image and the 3D straight line reconstruction of multi-view images. However, only a few research results are oriented to line extraction from point clouds. [0003] Line detection in 2D images has been studied for decades. The traditional method is to first use the Canny edge detection ope...

Claims

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Application Information

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IPC IPC(8): G06T15/00G06T7/00
Inventor 王程林阳斌程俊陈碧黎贾福凯李军
Owner XIAMEN UNIV
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