Camera Calibration Using Illuminated Reference Points
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Solution Overview
Problem
Current camera calibration techniques are substandard and require human intervention, affecting the accuracy and efficiency of camera systems in applications like virtual reality and autonomous driving assistance.
Innovation Solution
A method involving a camera device that captures images of a physical environment with and without an illuminated reference point to determine intrinsic and extrinsic parameter values, allowing for autonomous calibration by associating image locations with physical locations using a multi-dimensional calibration target.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If traditional camera calibration techniques are used, then the calibration process can be completed, but human intervention is required which reduces automation and increases operational complexity
Solution Approach 1:
The camera device performs self-calibration by autonomously capturing images of the calibration target, processing the image data to determine intrinsic and extrinsic parameters, and generating calibration results without requiring human intervention. The system uses its own captured images and pre-stored calibration target information to complete the calibration process automatically.
Solution Approach 2:
The calibration target is pre-configured with known geometric patterns and feature points before the calibration process begins. The camera device captures images of this pre-prepared target, and the processing system uses the known preliminary information about the target's geometry to automatically compute calibration parameters.
2Measurement precision
If standard calibration methods are applied, then calibration can be performed, but measurement precision and manufacturing precision are insufficient for high-accuracy applications
Solution Approach 1:
The calibration target incorporates localized high-contrast features and specific geometric patterns at different depths and positions. The camera device captures multiple images of the target from different viewpoints, and the processing system analyzes the local characteristics of these features to precisely determine intrinsic and extrinsic parameters with high accuracy.
Solution Approach 2:
The calibration target extends into the third dimension by placing calibration features at multiple depth levels. The camera device captures images that include depth information, and the processing system uses this three-dimensional spatial information to calculate more accurate calibration parameters compared to traditional two-dimensional calibration methods.
3Productivity
If existing calibration techniques are used, then the calibration process can be completed, but productivity is reduced due to manual operations and inefficiency
Solution Approach 1:
The camera device continuously captures multiple images of the calibration target from different positions and orientations. The processing system continuously processes these images to refine the calibration parameters. This continuous automated operation eliminates manual calibration steps and significantly reduces the overall calibration time while maintaining high precision.
Data Source
AI summary
Methods, systems, and devices for calibrating a camera device are described. The camera device may capture a first set of images of a physical environment and a second set of images of the physical environment having at least one illuminated reference point. The camera device may use a multi-dimensional target for calibration that may be formed by a quantity of illuminated reference points. That is, the illuminated reference points may be part of the multi-dimensional target. The camera device may determine a location of at least one illuminated reference point in an image of the second set based on an image of the first set and the image of the second set, and determine an association between the location of the at least one illuminated reference point in the image of the second set to a physical location of the illuminated reference point in the physical environment. As a result, the camera device may be calibrated.