Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Artificial mark detection method applied to augmented reality

A logo detection and augmented reality technology, applied in image analysis, instruments, computing, etc., can solve problems such as being easily interfered by light and complex objects, single artificial logo design, inability to flexibly change, etc., to meet real-time detection requirements, improve The effect of recognition speed and reduction of program operation time

Active Publication Date: 2016-07-06
SHANDONG UNIV
View PDF0 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • 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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Artificial mark detection method applied to augmented reality
  • Artificial mark detection method applied to augmented reality
  • Artificial mark detection method applied to augmented reality

Examples

Experimental program
Comparison scheme
Effect test

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. Such as 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 im...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to an artificial mark detection method applied to augmented reality. The method comprises the specific steps of S1: acquiring a frame image, roughly sampling the frame image, performing slant grid scanning, and performing detection to obtain edge pixels of the frame image; S2: based on an RANSAC algorithm, performing detection to obtain edge line segments in the frame image; S3: fusing the edge line segments; S4: extending and screening the edge line segments; and S5: detecting edge corner points of a quadrangle and constructing the quadrangle according to the edge corner points of the quadrangle. According to the method, the frame image is preprocessed before calculation, rough grid sampling is performed, and each grid region is subjected to edge detection, so that the program operation time is greatly shortened, the detection speed is increased, the real-time property is good, and the real-time detection requirement is met; and by adopting an edge-based detection method, line segment testing is performed at first and then a quadrilateral frame of a mark is reconstructed according to the line segments obtained by the line segment testing, so that the method has very good robustness for the illumination change and the occlusion condition.

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06T7/00
CPCG06V20/20
Inventor 赵子健马帅依凡
Owner SHANDONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products