Target-contour three-dimensional information extraction method based on edge curvature angle

A technology of three-dimensional information and target contour, applied in image data processing, instrument, character and pattern recognition, etc., can solve the problems such as the accuracy is easily affected by human factors, the real-time problem of the algorithm is not considered, and the automatic measurement is difficult to achieve. Achieve the effect of realizing three-dimensional information extraction and improving information processing efficiency

Active Publication Date: 2017-12-26
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

At present, the commonly used processing method is to manually select the key points in the point cloud data, and then calculate the actual size of the target object through the geometric relationship between them. The measurement accuracy of this method is easily affected by human factors, and it is difficult to realize automatic measurement.
In addition, the minimum circumscribed rectangle method is also used for size measurement

Method used

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  • Target-contour three-dimensional information extraction method based on edge curvature angle
  • Target-contour three-dimensional information extraction method based on edge curvature angle
  • Target-contour three-dimensional information extraction method based on edge curvature angle

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Embodiment Construction

[0040] The purpose of the present invention will be further described in detail through specific examples below, and the examples cannot be repeated here one by one, but the implementation of the present invention is not therefore limited to the following examples.

[0041] figure 2 with image 3 It is a schematic diagram of a circular cylinder workpiece, measured with a vernier caliper, the outer diameter of the upper surface of the ring is 49.78mm, the inner diameter is 40.46mm, and the height is 49.56mm.

[0042] Such as figure 1 As shown, a method for extracting three-dimensional information of the target contour based on the edge curvature angle includes the following steps:

[0043] S1. Use binocular stereo vision technology to perform three-dimensional measurement on it, and obtain edge point cloud data of its upper surface contour, such as Figure 4 shown;

[0044] S2. Perform filtering and denoising processing on the three-dimensional point cloud data by using th...

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Abstract

The invention discloses a target-contour three-dimensional information extraction method based on an edge curvature angle. The method comprises the following steps of (1) using a machine vision measurement technology to acquire three-dimensional point cloud data of a target object contour; (2) carrying out filtering denoising processing on the three-dimensional point cloud data; (3) ordering the denoised point cloud data through an annular ordering algorithm so that the point cloud data is arranged annularly according to an anti-clockwise direction, wherein adjacent points are stored at adjacent positions of a linear list at this time; (4) according to an annular ordering result, carrying out cluster segmentation on the point cloud data; (5) based on an edge curvature angle, rapidly dividing the point cloud data into linear points or curve points; and (6) based on point classification, carrying out segmentation fitting on the point cloud data and recovering three-dimensional information of the target contour. In the invention, the three-dimensional information of an object with a regular shape can be accurately extracted in real time.

Description

technical field [0001] The invention relates to the field of machine vision, in particular to measurement technology, in particular to a method for extracting three-dimensional information of a target outline based on an edge curvature angle. Background technique [0002] After using the binocular vision technology to obtain the 3D point cloud data of the edge contour of the target object, in order to extract the 3D feature information such as shape, size and position, it is necessary to further process these point cloud data. At present, the commonly used processing method is to manually select the key points in the point cloud data, and then calculate the actual size of the target object through the geometric relationship between them. The measurement accuracy of this method is easily affected by human factors, and it is difficult to realize automatic measurement. . In addition, the minimum circumscribed rectangle method is also used for size measurement. This method can ...

Claims

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Application Information

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IPC IPC(8): G06K9/46G06T7/10G06T7/13
CPCG06T7/10G06T7/13G06T2207/20024G06T2207/10028G06V10/44
Inventor 翟敬梅黄锦洲
Owner SOUTH CHINA UNIV OF TECH
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