AR Terminal Marker Position Verification
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Solution Overview
Problem
Current augmented reality (AR) technologies display content based solely on recognition of an AR marker, leading to incorrect display when markers are duplicates or positioned improperly, and lack the ability to determine if the marker is at its intended location.
Innovation Solution
A terminal and information processing system that determines whether an AR marker is captured at the correct position by analyzing characteristic information such as bright and dark areas from multiple angles, allowing for precise control of AR content display based on predefined decision criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If AR content is displayed based solely on AR marker recognition, then the display process is simple and fast, but the accuracy and reliability of content display deteriorates when markers are duplicates or improperly positioned
Solution Approach 1:
The system performs preliminary actions by capturing images from multiple angles and extracting characteristic information (bright and dark areas) before displaying AR content. This preliminary analysis of the environment allows the system to verify marker position accuracy in advance, preventing incorrect content display while maintaining a relatively simple processing framework.
Solution Approach 2:
The system implements feedback by comparing the extracted characteristic information (bright and dark area patterns) with expected patterns for correct marker positioning. This feedback mechanism enables the system to determine whether the marker is at the intended location and adjust content display accordingly, thereby improving reliability without excessive complexity.
2Measurement precision
If multiple characteristic information analysis is performed to verify marker position, then the accuracy of position determination is improved, but the processing time and computational load increase
Solution Approach 1:
The system extracts only the essential characteristic information (bright and dark area patterns) from the captured images rather than analyzing all image data. This selective extraction of key features enables accurate position determination while minimizing computational load and processing time, effectively resolving the contradiction between precision and speed.
Data Source
AI summary
A terminal includes a processor configured to execute a process that includes determining whether a reference object is included in an input image, determining whether first characteristic information of the input image includes second characteristic information that is associated with identification information of the reference object, and generating an image in which a content associated with the identification information of the reference object is superimposed on the input image based on a result of the determining that the first characteristic information includes the second characteristic information.