Image Processing Apparatus Spatial Coordinate Correction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Image recognition technologies face errors in detecting the position and range of target objects due to environmental conditions and human operation variations, leading to misalignment and reduced detectability.
Innovation Solution
An image processing apparatus that transforms detected image areas into a spatial coordinate system, compares them with reference physical models simulating object behavior and shape, and corrects the positions and ranges, then transforms the corrected areas back into the image coordinate system for accurate detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image recognition is performed using reference patterns, then target object detection is achieved, but position and range errors occur due to environmental conditions and object state variations
Solution Approach 1:
The patent introduces a spatial coordinate system as an intermediary between the image coordinate system and the physical world. By transforming detected object positions from the image coordinate system to the spatial coordinate system, and then comparing them with reference physical models, the system can correct position errors without directly modifying the image recognition process. This intermediary transformation layer enables error correction while maintaining the original detection workflow.
Solution Approach 2:
The patent implements a feedback mechanism where the detected object positions in the spatial coordinate system are compared with reference physical models, and correction values are calculated based on the discrepancies. These correction values are then applied to adjust the detected positions, creating a closed-loop system that continuously refines detection accuracy based on the difference between actual detections and expected reference values.
2Ease of operation
If human operation is used to acquire target object area, then area information can be obtained, but errors occur due to variations in human operation
Solution Approach 1:
The patent enables the system to correct its own measurement errors automatically. By transforming human-acquired area information to the spatial coordinate system, comparing it with reference physical models, and calculating correction values, the system self-corrects position and range errors without requiring additional manual intervention. This transforms the process from purely manual operation to automated correction while preserving the ease of initial area acquisition.
3Manufacturing precision
If image area is transformed to spatial coordinate system for correction, then position and shape errors are corrected, but system complexity increases
Solution Approach 1:
The patent segments the correction process into distinct, manageable steps: (1) transforming image coordinates to spatial coordinates, (2) comparing with reference physical models, (3) calculating correction values, and (4) applying corrections. This segmentation allows each step to be implemented and optimized independently, reducing the overall complexity by breaking down the correction task into simpler, sequential operations rather than a single complex process.
Data Source
AI summary
An image processing apparatus acquires a detection area in an image coordinate system expressing an area of a target object acquired from within an image, and derives a target spatial area in which the detection area is transformed to a corresponding position in a spatial coordinate system that simulates actual space in which the target object is present. In addition, the image processing apparatus identifies a reference physical model that simulates characteristics related to behavior and shape of the target object in the spatial coordinate system. Next, the image processing apparatus compares the target spatial area and the reference physical model on the spatial coordinate system, and corrects position and shape of the target spatial area based on the comparison result. Then, the image processing apparatus transforms the corrected target spatial area to a corresponding position in the image coordinate system, and outputs corrected area information expressing the corrected area.