Camera Parameter Set Calculation Apparatus Self-Calibration
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Solution Overview
Problem
Existing camera calibration techniques require three-dimensional coordinate sets of reference points, which can change due to factors like time, external forces, or temperature changes, making accurate calibration challenging without a calibration marker.
Innovation Solution
A camera parameter set calculation apparatus that calculates three-dimensional coordinate sets from overlapping images captured by multiple cameras, allowing self-calibration without pre-defined reference points, by determining pixel coordinate pairs and updating camera parameters based on evaluation values from pixel values in the images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional camera calibration techniques are used, then camera parameter sets can be calculated, but calibration markers and pre-defined reference points are required which may change position due to time, external forces, or temperature changes
Solution Approach 1:
The system performs self-calibration by automatically calculating three-dimensional coordinate sets from overlapping images captured by multiple cameras. The camera parameter set calculation apparatus uses the images themselves as reference, eliminating the need for external calibration markers. The system processes the images to extract feature points, calculates their three-dimensional coordinates through triangulation, and updates camera parameters accordingly, enabling the system to calibrate itself without external aids.
Solution Approach 2:
The invention extracts the calibration function from the external calibration marker and integrates it into the image processing system. By extracting feature points from the captured images and using them as the basis for calibration, the system removes the dependency on physical calibration markers. The three-dimensional coordinate calculation unit extracts and processes spatial information directly from the image data, transforming the calibration reference from physical to digital.
2Ease of manufacture
If calibration markers are used, then initial calibration can be performed, but the system becomes dependent on external reference objects that may not be available or stable
Solution Approach 1:
The system makes the captured images serve dual purposes: both as the data source for the intended application and as the calibration reference. The same images that will be processed for their primary function are also used to calculate three-dimensional coordinate sets and update camera parameters. This eliminates the need for separate calibration markers and allows the system to perform calibration in any environment where images can be captured, enhancing adaptability to different scenarios.
Data Source
AI summary
A camera parameter set calculation apparatus calculates three-dimensional coordinate sets corresponding to overlapping regions including images of a portion of a subject, based on a first and second images captured by a first and second cameras, a first camera parameter set of the first camera and a second camera parameter set of the second camera; determines first pixel coordinate pairs based on the first camera parameter set by projecting the three-dimensional coordinate sets on the first image; determines second pixel coordinate pairs based on the second camera parameter set by projecting the three-dimensional coordinate sets on the second image; calculates an evaluation value, based on pixel values at the first pixel coordinate pairs on the first image and pixel values at the second pixel coordinate pairs on the second image; and updates the first and second camera parameter sets based on the evaluation value.