Composite Image Creation Using Spatial Metadata Alignment
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Solution Overview
Problem
Digital cameras, including those in smartphones, lack effective methods for creating composite images that combine multiple images from different lenses, such as front and rear cameras, while maintaining accurate location, orientation, and proximity information.
Innovation Solution
A method and device for composite image creation that involves storing images from multiple sensors, extracting image elements, and combining them using location, orientation, and proximity information to align and modify the images, allowing for the creation of a composite image with accurate spatial relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple images from different lenses are combined to create composite images, then image composition versatility is improved, but accurate alignment and spatial relationship maintenance become difficult
Solution Approach 1:
The system performs preliminary actions by capturing images with multiple lenses simultaneously or in rapid succession, storing them with associated metadata (location, orientation, proximity) before the composite image creation process. This preliminary capture and storage of structured data enables accurate alignment during composition without requiring complex real-time adjustments.
Solution Approach 2:
The patent introduces an intermediary processing system that uses location, orientation, and proximity information as mediating data to align images from different lenses. This intermediary layer of metadata acts as a bridge between the raw captured images and the final composite image, enabling precise spatial relationship maintenance during the combination process.
2Measurement precision
If images are captured and processed with detailed location, orientation, and proximity information, then composite image accuracy is improved, but processing complexity increases
Solution Approach 1:
The system implements a universal processing framework that handles multiple types of spatial information (location, orientation, proximity) through a single integrated algorithmic approach. This multi-functional processing system can accommodate different sensor types and image combinations using the same core methodology, reducing overall processing complexity despite the detailed spatial information being handled.
Solution Approach 2:
The patent transforms complex spatial relationship data into simplified parameters that can be easily processed during image composition. By converting location, orientation, and proximity information into actionable alignment parameters, the system maintains high measurement precision while reducing the computational burden of processing these detailed spatial data.
Data Source
AI summary
The present disclosure provides a method and device for composite image creation. Images from multiple lenses, such as a front camera and rear camera of a host electronic device, are combined to create a composite image. The images may be modified before combining using location, orientation and/or proximity information associated with the images.