Multi-Camera Calibration With Reliable Feature Points
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Solution Overview
Problem
Existing camera calibration methods rely on feature points that are influenced by imaging environment and subject, leading to reduced accuracy in calculated camera parameters.
Innovation Solution
An information processing apparatus and method that detects feature points from images captured by multiple cameras, applying a predetermined condition to calibrate the cameras' parameters, ensuring accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If feature points are used for camera calibration, then the calibration process can be executed, but the accuracy of camera parameters is reduced due to influence from imaging environment and subject
Solution Approach 1:
The patent changes the selection criteria for feature points by introducing predetermined conditions (first and second conditions) that filter feature points based on their reliability. This parameter change in feature point selection directly addresses the accuracy issue by excluding unreliable feature points that are influenced by imaging environment and subject characteristics.
Solution Approach 2:
The system performs self-evaluation of feature point quality by automatically determining whether each feature point satisfies the predetermined conditions. This self-service mechanism allows the calibration process to autonomously select high-quality feature points without external intervention, improving both accuracy and reliability.
2Ease of manufacture
If all detected feature points are used for calibration, then the calibration process is simple, but the accuracy is reduced due to inclusion of unreliable feature points
Solution Approach 1:
The patent segments the set of all detected feature points into reliable and unreliable subsets by applying predetermined conditions. This segmentation allows the system to process only the reliable subset for calibration, maintaining process simplicity while improving accuracy by excluding problematic feature points.
Solution Approach 2:
Instead of using all detected feature points, the patent applies partial action by selectively using only those feature points that satisfy the predetermined conditions. This partial selection approach maintains calibration simplicity while achieving higher accuracy through targeted feature point usage.
3Quantity of substance
If feature points influenced by imaging environment are used, then more feature points can be detected, but the calibration accuracy is reduced
Solution Approach 1:
The patent changes the quality parameter of feature points by introducing evaluation criteria (predetermined conditions) that assess reliability based on imaging characteristics. This parameter change enables the system to distinguish between high-quality and low-quality feature points, selecting only the former for calibration.
Solution Approach 2:
The predetermined conditions act as an intermediary mechanism that mediates between the quantity of detected feature points and the quality required for accurate calibration. This intermediary filters out influenced feature points while preserving reliable ones, achieving both sufficient quantity and high quality.
Data Source
AI summary
A novel and improved information processing method, information processing apparatus, and program is proposed which can execute a calibration process with higher accuracy. The information processing apparatus includes: a detection unit configured to detect a feature point from each of images obtained by imaging a subject with a plurality of cameras respectively at a certain timing; and a processing unit configured to execute a process of calibrating at least one of the plurality of cameras by use of the cameras' respective images having the feature point detected by the detection unit, the feature point satisfying a predetermined condition.