Depth Camera Calibration Verification Using Pattern Projection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current depth camera technologies lack a method and device for verifying calibration parameters after calibration, which affects the accuracy and reliability of depth information acquisition.
Innovation Solution
A method and device that acquire a common two-dimensional image and an infrared image of a calibration object with a pattern, calculate coordinates and depth values, and determine the position of projections on both images using calibration parameters to verify the calibration accuracy by calculating distances and comparing them to a threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If calibration parameters are obtained through calibration of depth camera device, then depth information acquisition capability is improved, but there is no verification method to ensure calibration accuracy
Solution Approach 1:
The patent implements a feedback mechanism by calculating the distance between the projected position (derived from calibration parameters) and the actual image position, then using this distance as a verification metric to assess calibration accuracy. This closed-loop feedback allows the system to evaluate and ensure the reliability of calibration parameters.
Solution Approach 2:
The patent introduces an intermediary verification process that uses the calibration object with known pattern positions as a reference standard. By comparing the projected positions (based on calibration parameters) against the actual measured positions of the calibration object, the system mediates the verification of calibration accuracy without requiring direct access to ground truth depth measurements.
2Reliability
If calibration verification method is implemented, then calibration accuracy verification capability is improved, but calculation complexity increases
Solution Approach 1:
The patent segments the verification process into distinct modular steps: acquiring the calibration object image, calculating image positions, obtaining depth values, calculating projected positions using calibration parameters, and finally computing the distance metric. This segmentation makes the complex verification process more manageable and implementable.
Solution Approach 2:
The patent creates a virtual copy of the calibration object in the form of a projected position derived from calibration parameters and depth values. By comparing this virtual copy against the actual image position, the system verifies calibration accuracy without requiring physical re-measurement or complex analytical models.
Data Source
AI summary
The present invention provides a method and a device for verification applied to the field of image processing. The method includes: acquiring a common two-dimensional image, an infrared image and a depth map of a calibration object, wherein the calibration object carries a first pattern; calculating coordinates of an image formed on the infrared image by the first pattern, acquiring a depth value of the first pattern according to the depth map, and calculating a position of a projection formed on the common two-dimensional image by a three-dimensional point cloud corresponding to the image formed on the infrared image by the first pattern, and calculating a distance between an image and the projection formed on the common two-dimensional image by the first pattern. The method and device for verification provided by the present invention can verify a calibration parameter obtained after calibration performed by a depth camera device, enhancing calibration accuracy.