Identifier Positioning via Scene Image Feature Matching
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Solution Overview
Problem
Current large-scene positioning technologies rely on expensive external auxiliary devices, leading to high hardware costs for real-time user positioning in large scenes, such as those used in virtual reality and augmented reality applications.
Innovation Solution
A method and apparatus for identifier positioning that uses scene identifiers arranged in the scene area, where feature information from images is extracted and matched to calculate the user's position, reducing the need for costly external devices by employing image recognition and feature comparison.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If expensive external auxiliary devices are used for positioning, then positioning accuracy is improved, but hardware cost increases
Solution Approach 1:
The patent replaces expensive mechanical positioning devices with an optical/image-based positioning system. By using image capture devices to obtain scene images and extracting feature information from these images, the system achieves positioning functionality without relying on traditional mechanical sensors or auxiliary positioning hardware, thereby substituting a mechanical system with an optical one.
Solution Approach 2:
The patent uses image copies of the scene to perform positioning operations. Instead of directly interacting with the physical scene using expensive sensors, the system captures images (copies) of the scene, extracts feature information from these copies, and uses this information for positioning. This allows positioning to be performed on digital representations rather than requiring expensive physical measurement devices.
2Area of stationary object
If dense positioning devices are deployed in the scene, then positioning coverage is improved, but device complexity increases
Solution Approach 1:
The patent makes the image capture device perform multiple functions: it not only captures images for visual content but also extracts positioning information from these same images. The feature information extraction module serves dual purposes by identifying both scene features for recognition and positioning features for location determination, eliminating the need for separate positioning devices and reducing overall system complexity.
Solution Approach 2:
The patent merges the positioning function with the image capture function. By combining feature extraction for both scene recognition and positioning into a unified process, the system eliminates the need for separate positioning infrastructure. The same image and feature extraction pipeline serves both visual processing and positioning needs, simplifying the overall system architecture.
Data Source
AI summary
Disclosed are an identifier positioning method and apparatus, an electronic device and a computer-readable storage medium. The method includes: identifying the scene identifier of the scene area in the first scene image to obtain the scene identifier position; and selecting a coordinate point from the first scene image, extracting first feature information corresponding to the coordinate point, and recording the coordinate point position of the coordinate point respectively; identifying the identifier to be measured in the second scene image of the scene area to obtain the identifier position to be measured, and extracting second feature information at the identifier position to be measured; and finding the target coordinate point from coordinate points, and calculating a position of the identifier to be measured in the scene area according to a coordinate point position corresponding to the target coordinate point and the position of the scene identifier in the scene area.