Computing Device Image Conversion Preview via Image Stitching
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Solution Overview
Problem
Existing image stitching techniques require users to capture and prepare multiple images at the same location to create larger panoramic or spherical images, which can be inconvenient and time-consuming.
Innovation Solution
A computing device that displays conversion possibility information indicating whether a target image can be converted into a larger image by stitching with available images, using metadata extraction and server-based image matching to determine compatibility and generate the larger image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If users capture multiple images at the same location to create larger panoramic or spherical images, then the field of view and image coverage are improved, but the time consumption and operational complexity increase
Solution Approach 1:
The system performs preliminary actions by automatically searching for and identifying suitable images in the image library that can be stitched with the target image, eliminating the need for users to manually capture multiple images. The conversion possibility information is generated in advance to indicate whether stitching can be performed, saving user time and effort.
Solution Approach 2:
The system enables self-service by automatically matching and stitching images based on metadata analysis and visual feature comparison. The computing device autonomously determines compatibility between images and performs the stitching operation without requiring user intervention in the image capture process.
2Area of stationary object
If users capture multiple images at the same location to create larger images, then the image coverage is improved, but the operational complexity increases
Solution Approach 1:
The system performs self-service by automatically analyzing metadata and visual features to identify compatible images for stitching. The computing device autonomously evaluates image compatibility and executes the stitching operation without requiring users to manually select or prepare multiple images, significantly reducing operational complexity.
Solution Approach 2:
The system performs preliminary analysis of image compatibility by comparing metadata and visual features before the user initiates stitching. The conversion possibility information is generated in advance, allowing users to know whether stitching can be performed without having to manually verify image compatibility.
3Ease of operation
If the system programmatically matches and stitches images based on location and content criteria, then the ease of operation is improved, but the processing resources required increase
Solution Approach 1:
The system applies partial action by first performing metadata-based filtering to identify candidate images, then conducting more intensive visual feature comparison only on these filtered candidates. This two-stage approach reduces the overall processing load while maintaining accurate image matching.
Solution Approach 2:
The image matching process is segmented into multiple stages: initial metadata-based filtering, followed by visual feature comparison on filtered candidates, and finally stitching execution. This segmentation divides the computationally intensive task into manageable phases, optimizing resource utilization.
Data Source
AI summary
A computing device is provided, including a storage device configured to store image data and a processor coupled to a memory that stores instructions, which, upon execution by the processor, cause the processor to select a target image from the image data. The processor is further configured to display conversion possibility information that indicates that the target image can be converted into a larger image that has a larger field of view by stitching other images together with at least a portion of the target image and an associated selector. The processor is further configured to display the larger image upon receiving a user selection of the selector.