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Artificial scene image end point detection method

A scene image and detection method technology, applied in the field of computer vision, can solve the problems of high complexity and low efficiency, and achieve the effect of improving the accuracy of detection and improving detection efficiency

Inactive Publication Date: 2015-03-04
HOHAI UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The traditional vanishing point detection algorithm is often based on the two-dimensional Hough parameter space, which has high complexity and low efficiency

Method used

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  • Artificial scene image end point detection method

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Embodiment Construction

[0034] The present invention will be described in detail below in conjunction with the accompanying drawings.

[0035] Such as figure 1 Shown, a kind of artificial scene image vanishing point detection method of the present invention, its steps are as follows:

[0036] Step 10: collecting artificial scene image data;

[0037] Collect an artificial scene image, which mainly contains images of rich parallel line information in three-dimensional space, such as roads, buildings, crosswalks, etc.

[0038] Step 20: Gaussian filtering is performed on the artificial scene image obtained in step 101;

[0039] Step 30: Use canny edge detection and CCA algorithm to perform line segment detection on the preprocessed image obtained in step 20, and keep a longer line segment, and finally obtain information such as the position of the endpoint of the long line segment, the length of the line segment, and the slope;

[0040] Among them, such as Figure 4 As shown, the method for performin...

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Abstract

The invention discloses an artificial scene image end point detection method which includes the following steps: 10 collecting artificial scene data; 20 conducting Gaussian filter on the artificial scene image data obtained through the step 10 to obtain an Gaussian filtering image; 30 utilizing a communication area algorithm to detect the longer linear edge of the image in the Gaussian filtering image obtained in the step 20; 40 grouping the long line segments according to distribution of intersection points of extension lines of the long line segments obtained in the step 30; 50 determining the three-direction end point angle; 60 acquiring the focal length size according to the three-direction end point angle in the step 50; 70 determining the position of the end points. The method is quick and high in efficiency, effectively improves the detection efficiency and accuracy and lays a good foundation for three-dimensional structure analysis of the scene images.

Description

technical field [0001] The invention belongs to the three-dimensional perspective analysis in the field of computer vision, in particular to a method for detecting the vanishing point of an artificial scene image. Background technique [0002] When parallel straight lines in three-dimensional space are mapped to an image, they often intersect at one point (possibly infinitely far away), and this point is called the vanishing point. Vanishing points lying in the same plane define a line, called a vanishing line. Vanishing points and lines provide important clues for inferring the structure of 3D scenes. Artificial scenes (such as roads, buildings, crosswalks, etc.) contain a wealth of information about parallel lines in three-dimensional space. The intersection points of these parallel lines in three-dimensional space mapped to two-dimensional images provide us with convenient conditions for finding the position of the vanishing point. [0003] Connected region algorithm is...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T17/00
CPCG06T7/13G06T17/00
Inventor 王敏陈肖
Owner HOHAI UNIV