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An Artificial Landmark Detection Method Applied to Augmented Reality

A sign detection and augmented reality technology, applied in image analysis, instruments, calculations, etc., can solve the problems of being easily interfered by light and complex objects, single artificial sign design, and no stored information, so as to meet the requirements of real-time detection and improve The effect of recognition speed and detection speed improvement

Active Publication Date: 2018-11-06
SHANDONG UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing artificial signs have a single design, which makes image recognition vulnerable to interference from light and complex objects, and there is no internal storage information, so that the data of virtual objects must be stored on the recognition device and cannot be changed flexibly

Method used

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  • An Artificial Landmark Detection Method Applied to Augmented Reality
  • An Artificial Landmark Detection Method Applied to Augmented Reality
  • An Artificial Landmark Detection Method Applied to Augmented Reality

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Experimental program
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Embodiment

[0049] A method for detecting artificial signs applied to augmented reality, the specific steps comprising:

[0050] S1: Collect the frame image, roughly sample the frame image, use oblique grid scanning, and detect the edge pixels of the frame image;

[0051] S2: Based on the RANSAC algorithm, according to the edge pixels obtained in step S1, the edge line segment in the frame image is detected;

[0052] S3: Fusing the edge line segments detected in step S2;

[0053] S4: Extending and screening the edge line segments fused in step S3;

[0054] S5: Detect the corner points of the quadrilateral according to the extended and screened edge segments in step S4, and construct a quadrilateral according to the corner points of the quadrilateral. like figure 1 shown.

[0055] The step S1 specifically includes:

[0056] S11: Divide the frame image into several regions, each region contains 40×40 pixels, divide the frame image into several regions, speed up the detection, and impro...

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Abstract

The present invention relates to an artificial sign detection method applied to augmented reality, and the specific steps include: S1: collecting a frame image, sampling the frame image roughly, using oblique grid scanning, and detecting edge pixels of the frame image; S2: based on the RANSAC algorithm , to detect the edge segments in the frame image; S3: fuse the edge segments; S4: extend and filter the edge segments; S5: detect the corner points of the quadrilateral, and construct a quadrilateral according to the corner points of the quadrilateral. The invention preprocesses frame images before operation, performs coarse grid sampling, and performs edge detection on each grid area, greatly reduces program operation time, improves detection speed, has good real-time performance, and meets real-time detection requirements. The invention adopts an edge-based detection method, firstly performs a line segment test, and then reconstructs a quadrilateral frame of a sign according to the line segment obtained by the line segment test, and has good robustness to illumination changes and occlusion conditions.

Description

technical field [0001] The invention relates to an artificial mark detection method applied in augmented reality, and belongs to the technical field of augmented reality applications. Background technique [0002] Augmented reality technology is a new technology that "seamlessly" integrates real world information and virtual world information. , touch, etc.), through computer and other science and technology, simulate and then superimpose, apply virtual information to the real world, and be perceived by human senses, so as to achieve a sensory experience beyond reality. The real environment and virtual objects are superimposed on the same screen or space in real time. [0003] The fiducial mark system is widely used in augmented reality, robot navigation, position tracking, image modeling and other general projects. It mainly uses image processing technology to detect and identify known 2D artificial signs placed in the environment, extract sign information, and calculate c...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06T7/13
CPCG06V20/20
Inventor 赵子健马帅依凡
Owner SHANDONG UNIV
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