Template-Based Image Region Analysis for Efficient Object Detection
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Solution Overview
Problem
Existing image processing technologies require frequent learning processes, leading to high costs and inefficiencies in detecting objects within images.
Innovation Solution
An information processing device and method that acquires setting information based on a template image to associate image regions with analysis processes, allowing for analysis without the need for continuous learning, using units such as similarity comparison, feature point matching, projection transformation, and image classification to extract and classify target regions within input images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If deep learning-based object detection is used, then detection accuracy is improved, but processing costs increase due to frequent learning processes
Solution Approach 1:
The patent applies preliminary action by pre-defining analysis processes and their corresponding image regions before actual image analysis. The analysis process definition unit creates a mapping between image regions and analysis processes in advance, eliminating the need for frequent learning processes while maintaining detection accuracy. This preparatory configuration allows the system to directly apply predefined analysis rules to input images without performing costly learning operations.
2Productivity
If template-based analysis is used, then processing efficiency is improved, but adaptability to new objects decreases
Solution Approach 1:
The patent implements dynamics by making the analysis process definition updateable and adaptable. While the system uses predefined analysis processes for efficiency, the definition of these processes can be modified to accommodate new objects or analysis requirements. The analysis process definition unit can incorporate new analysis processes and their corresponding image regions dynamically, allowing the system to adapt to new objects without sacrificing processing efficiency through frequent full-scale learning.
Data Source
AI summary
An information processing device includes: an acquisition unit configured to acquire setting information which is set based on a template image and associates an image region with analysis process content; and an image processing unit configured to perform an analysis process corresponding to the analysis process content associated with the image region on an image of a target region corresponding to the image region in an input image.