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

Low-error and high-efficiency multi-mark graph augmented reality system

An augmented reality, high-efficiency technology, applied in graphics reading, sensing record carriers, input/output process of data processing, etc., can solve the problems of heavy placement workload, errors, low efficiency, etc., to reduce virtual and real registration Error, reduce workload, easy to use effect

Pending Publication Date: 2019-12-13
FUZHOU UNIV
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When using, it is necessary to place different markers at the specified position according to the situation, and there will be errors in each placement. If multiple markers are placed at the same position, the deviation between the superimposed position of the virtual information and the ideal position will increase.
And the workload of pasting and placing multiple times is large, the efficiency is low, and it is extremely inconvenient to use

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
  • Low-error and high-efficiency multi-mark graph augmented reality system
  • Low-error and high-efficiency multi-mark graph augmented reality system
  • Low-error and high-efficiency multi-mark graph augmented reality system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0052] In this example, the AR scene binding object is a human head model, and the AR virtual model is the human brain and related surgical instruments; the main mark is attached to the top of the human head model. When the user wears the AR device, the appearance of the human head model Observe, and then move the paper with the opening mark into the field of view of the AR device. At this time, the opening mark in the field of view of the AR device triggers the AR device, and the AR device starts the demonstration of the AR virtual model associated with the opening mark. The model image of the human brain and related surgical instruments is superimposed on the AR scene binding object image seen through the AR device.

Embodiment 2

[0054] When creating this system, the following steps are included:

[0055] S1. According to actual needs, determine the number m of virtual models and the number m+1 of markers to be displayed in augmented reality (m>1), use the corresponding modeling software to make virtual models, export them as FBX format files, and import them into Unity3D.

[0056] S2. Select m+1 flat pictures of the same size as the marker map, and upload them to the Vuforia official website to verify the feature points of the pictures in turn. The pictures must have enough feature points to be tracked and recognized by the camera. Pictures like QR codes are very easy to be identified. After the identification and verification are passed, download the Vuforia Plugin for Unity plug-in package containing the m+1 marker images and import them into Unity3D.

[0057] S3. In the Unity3D editor, set the relative positional relationship between the marker map and the virtual model according to the usage requi...

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 provides a low-error and high-efficiency multi-mark graph augmented reality system, which can bind a plurality of AR virtual models on an AR scene binding object and display the AR virtual models as required. The system comprises AR equipment and an AR model memory connected with a camera module of the AR equipment. An AR virtual model associated with an AR scene binding object and amodel display triggering condition are stored in the AR model memory. Each AR virtual model corresponds to a unique model display triggering condition. The model display triggering condition is thatan AR scene binding object and a triggering object are captured by a camera module of the AR equipment at the same time, and when the AR equipment works, if the model display triggering condition is captured, the AR equipment demonstrates an AR virtual model corresponding to the triggering object. The system is suitable for an occasion where multiple pieces of virtual information need to be stacked on an object in sequence, can effectively reduce virtual-real registration errors caused by repeated pasting of the mark graph, greatly reduces the workload, improves the efficiency, and is convenient to use.

Description

technical field [0001] The invention relates to the technical field of augmented reality, in particular to a low-error and high-efficiency multi-marker augmented reality system. Background technique [0002] Augmented reality is to use image tracking recognition and display technology to superimpose computer-generated virtual information on real scenes, thereby amplifying people's cognition of real scenes. [0003] In principle, it can be divided into marked augmented reality and unmarked augmented reality. Marked augmented reality refers to relying on the camera to identify artificial markers (plane images, three-dimensional objects, artificial light sources, etc.), and artificial in real-time video images. Superimposed virtual information at the marked place; while unmarked augmented reality refers to using the natural features of the object (outline, volume, light and shade, etc.) as a mark, and superimposing virtual information at the natural features in the real-time vi...

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
IPC IPC(8): G06F3/01G06K7/14
CPCG06F3/011G06K7/1417
Inventor 何炳蔚苏晓航张雅玲
Owner FUZHOU 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