Camera Calibration Using Integrated Pattern Markers
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Solution Overview
Problem
Existing methods for estimating camera parameters, such as position and orientation, are inefficient and require repetitive processes involving multiple markers and extensive imaging, making high-accuracy calibration of multiple cameras challenging.
Innovation Solution
An information processing apparatus with an acquisition unit for synchronized images, a detection unit for image patterns, and a determination unit to calculate camera parameters, allowing for accurate estimation of camera positions and orientations using a smaller number of markers and efficient image processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple markers are used for camera parameter estimation, then measurement precision is improved, but device complexity and loss of time increase due to repetitive imaging processes
Solution Approach 1:
The patent combines multiple markers into a single integrated marker structure that contains multiple identifiable features. This single marker can be captured in one imaging operation, eliminating the need for repetitive imaging processes while still providing sufficient data for accurate camera parameter estimation through feature detection and matching algorithms
Solution Approach 2:
The marker is designed with pre-defined image patterns and features that are optimized for detection. The marker structure is prepared in advance with specific geometric arrangements that enable accurate parameter estimation from a single capture, eliminating the need for multiple imaging steps
2Measurement precision
If multiple markers are used for camera parameter estimation, then measurement precision is improved, but device complexity increases due to multiple markers and extensive imaging requirements
Solution Approach 1:
The patent merges the functionality of multiple separate markers into a single marker structure that contains multiple detectable features. This reduces the physical number of markers from multiple to one, simplifying the overall system while maintaining the computational complexity needed for accurate parameter estimation through feature detection and matching
Solution Approach 2:
The single marker structure is designed to serve multiple functions simultaneously: it provides multiple identifiable features for detection, establishes spatial relationships for calibration, and works across different imaging conditions. This multi-functional design eliminates the need for multiple specialized markers
3Measurement precision
If repetitive imaging processes are performed for marker detection, then measurement precision is improved, but productivity decreases due to time-consuming calibration
Solution Approach 1:
The marker is designed with pre-arranged image patterns and geometric features that are optimized for single-shot detection. The spatial arrangement of features within the marker is carefully planned to provide sufficient information for accurate parameter estimation from one capture, eliminating the need for repetitive imaging to gather adequate data
Data Source
AI summary
An information processing apparatus acquires a plurality of captured images captured by a plurality of image capturing devices, the plurality of captured images having imaging time codes that match each other, the plurality of captured images being used for generating a virtual viewpoint image, executes a detection process for detecting a predetermined image pattern on the plurality of captured images, and determines parameters on positions of the plurality of image capturing devices and orientations from the plurality of image capturing devices based on a result of the detection process for detecting the predetermined image pattern on the plurality of captured images having the imaging time codes that match each other.