Image Processing Feature Relation Integration
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Solution Overview
Problem
Existing electronic devices lack an efficient method to process and integrate multiple images taken from different viewpoints, limiting their ability to share and display related image data effectively.
Innovation Solution
An electronic device with a processor configured to acquire multiple images, identify features, generate relation information, and create image data by combining parts of the images based on this information, allowing for the display of connection guides and seamless image sharing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple images from different viewpoints are processed and integrated, then the ability to share and display related image data is improved, but the processing complexity and computational resources required increase
Solution Approach 1:
The patent segments the image processing task by identifying and extracting key features (edges, corners, textures) from multiple images separately, then processing these features to establish relationships. This divides the complex task of processing entire images into manageable feature-level operations, reducing overall computational complexity while maintaining the ability to integrate multiple viewpoints effectively
2Manufacturing precision
If features are identified and relation information is generated from multiple images, then image integration accuracy is improved, but the time required for processing increases
Solution Approach 1:
The patent performs preliminary feature extraction and identification on multiple images before integration. By pre-identifying edges, corners, and texture features, and pre-establishing relation information items that describe spatial and semantic relationships between these features, the system prepares data structures that accelerate the subsequent integration process while ensuring high accuracy in aligning images from different viewpoints
3Ease of operation
If connection guides are superimposed on images for display, then user interaction with multiple images is improved, but the display complexity increases
Solution Approach 1:
The patent introduces connection guides as intermediary visual elements that are superimposed on the displayed images. These guides serve as mediators between the user and the multiple images, providing intuitive visual cues about relationships between images and enabling easy user interaction for selecting and viewing related images from different viewpoints without requiring users to understand complex processing or spatial relationships
Data Source
AI summary
An electronic device comprising: a memory; and at least one processor operatively coupled to the memory, the processor being configured to: acquire a first and a second image, identify a first feature in the first image, and a second feature in the second image, generate a first relation information item based on the first feature and the second feature, and generate image data comprising at least a part of the first image or at least a part of the second image, based on the first relation information item.