Virtual Grid Mosaicking for Overlap Detection
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Solution Overview
Problem
Generating mosaic images from overlapping source images is inefficient due to the retrieval and processing of duplicate data, as existing systems are not aware of the overlaps between source images, leading to reduced performance.
Innovation Solution
An apparatus that uses a virtual grid to map and identify overlaps between source images, allowing for the efficient retrieval and processing of only the necessary data by generating a mosaic image, which includes boundary logic to determine relevant source images and grid logic to create a virtual grid that indicates overlapping portions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If source images are stitched together to form mosaic image, then complete coverage of mosaic area is achieved, but duplicate data is retrieved and processed reducing performance
Solution Approach 1:
The system performs preliminary actions by pre-calculating the virtual grid and marking overlapping regions before the actual image stitching process. The virtual grid is constructed in advance with markers indicating where source images overlap, allowing the stitching algorithm to skip duplicate data retrieval and processing in those marked regions, thereby improving performance while maintaining complete coverage.
Solution Approach 2:
The virtual grid acts as an intermediary structure between the source images and the final mosaic. It mediates the relationship by providing a framework that identifies and manages overlapping regions, enabling the system to efficiently navigate through duplicate data and select appropriate source images without retrieving all duplicate data, thus resolving the contradiction between coverage and performance.
2Ease of manufacture
If all source images are read and written without awareness of overlaps, then simplicity of processing is maintained, but extra unused data is loaded and written reducing efficiency
Solution Approach 1:
The system segments the mosaic area into a virtual grid structure, dividing the continuous image stitching problem into discrete grid cells. Each grid cell can be independently processed to determine whether it corresponds to an overlapping region. This segmentation enables the system to maintain simple processing logic for non-overlapping regions while efficiently handling overlapping regions through the virtual grid markers, thus improving overall efficiency without significantly complicating the processing pipeline.
Data Source
AI summary
Systems, methods, and other embodiments associated with generating a mosaic image using a virtual grid are described. In one embodiment, a method includes analyzing, by a processor of an apparatus, a boundary of a requested image to determine source images that collectively form an area that includes the requested image. The method also includes generating, by the processor, a virtual grid from coordinates of the source images by identifying edges of the source images from the coordinates to define rows and columns of the virtual grid within the boundary. The rows and columns of the virtual grid define virtual tiles in the virtual grid.