Composite Image Generation Using Reference Member Shape
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Solution Overview
Problem
Existing image processing techniques face accuracy issues when composing multiple images due to unsuitable correction processes, leading to reduced quality of the composite image.
Innovation Solution
An information processing apparatus and method that acquires multiple images featuring a reference member with a known shape, allowing for accurate composition by reshaping and overlapping images to fill missing regions, ensuring high-quality composite image generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional image correction processes are applied when composing multiple captured images, then the composition process can be completed, but the accuracy and quality of the composite image is reduced
Solution Approach 1:
A reference member with a known shape is introduced as an intermediary object to establish a reliable coordinate system and scaling reference. This mediator enables accurate geometric transformation and alignment of multiple captured images during composition, resolving the accuracy-quality contradiction by providing an objective basis for precise image registration without relying on unsuitable correction processes
2Productivity
If multiple captured images are composed using existing techniques, then image composition is achieved, but missing regions and accuracy issues occur
Solution Approach 1:
The reference member is placed in the scene before image capture to pre-establish a known geometric framework. This preliminary action allows the composition algorithm to predict and compensate for perspective distortions, scaling variations, and positional offsets across multiple images, enabling accurate reconstruction of missing regions without trial-and-error correction
Data Source
AI summary
An information processing apparatus of the disclosure includes: an acquisition unit that acquires a plurality of captured images each including a reference member, which has a known shape, and a subject; and a composition unit that generates one composite image from the plurality of captured images based on the shape of the reference member included in each of the plurality of captured images.