AR Image Processing for Simultaneous Multi-Card Virtual Scene Generation
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Solution Overview
Problem
Existing AR games cannot identify multiple game cards simultaneously, limiting interactions and game content to simple scenarios due to their inability to process and render multiple virtual items in real-time.
Innovation Solution
An image processing method that extracts subject information from captured images, determines corresponding virtual items, and generates a virtual scene by superimposing these items onto the real scene based on coordinate information, allowing for the simultaneous identification and interaction of multiple game cards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing AR games identify only one game card at a time, then the system complexity remains low, but the game content and interaction complexity are limited
Solution Approach 1:
The patent segments the image processing into distinct modules: image acquisition, subject information extraction, virtual item determination, coordinate information determination, and virtual scene generation. This modular segmentation enables the system to process multiple game cards simultaneously while maintaining manageable system complexity through organized, reusable components.
Solution Approach 2:
The patent creates a universal image processing framework that can handle multiple types of subjects (game cards, characters, items) and generate various virtual scenes. The system uses a virtual item library that stores multiple virtual items, allowing a single system to support diverse game content and interactions beyond simple single-card identification.
2Adaptability or versatility
If multiple virtual items are rendered simultaneously, then interactive modes are enriched, but real-time processing capability is challenged
Solution Approach 1:
The patent pre-establishes a virtual item library containing multiple virtual items and their associated metadata before runtime. Subject information extraction templates are pre-configured for different types of game elements. This preliminary preparation enables rapid real-time processing during actual gameplay, as the system only needs to match captured subjects against pre-defined templates rather than creating everything from scratch.
Solution Approach 2:
The patent uses template matching and pattern recognition to efficiently identify multiple subjects in captured images. By creating reusable subject information extraction templates for different game card types and virtual items, the system can rapidly process multiple cards simultaneously through copying and adapting these templates, maintaining real-time performance while supporting rich interactive content.
Data Source
AI summary
An image processing method, performed by an electronic apparatus is provided. A captured image is obtained. Subject information of a subject is extracted among at least one subject, from the captured image. A virtual item corresponding to the subject is determined according to the subject information of the subject. Coordinate information of the virtual item is determined according to the subject information of the subject and the captured image. A virtual scene is generated according to the coordinate information, the virtual item, and the captured image.