Camera Parameter Calibration via Dynamic Object Trajectory
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Solution Overview
Problem
Conventional 3D information acquisition systems using multiple cameras face challenges in efficiently calibrating camera parameters, especially in environments with moving objects and spatial limitations, requiring complex setup and recalibration due to environmental changes.
Innovation Solution
A method utilizing a dynamic object, such as a ball, to calculate and continuously calibrate camera parameters by analyzing image information from multiple cameras, modeling the object's trajectory as a 2nd order curve or 3D plane to determine camera parameters, allowing for accurate 3D information acquisition without fixed patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed pattern is used for stereo calibration, then camera parameters can be acquired through analysis of photographed images, but it becomes difficult to position equipment in places with moving objects and spatial limitations
Solution Approach 1:
The patent replaces the static fixed pattern with a dynamic object (moving ball) that moves through the calibration space. The calibration process captures multiple images of the ball at different positions and times, then reconstructs its 3D trajectory. This dynamic approach eliminates the need for precise equipment positioning while maintaining calibration accuracy, as the ball naturally traverses the spatial region of interest during pitching practice.
2Area of stationary object
If camera devices are positioned at a great distance apart, then 3D information coverage is improved, but it becomes difficult to photograph the fixed pattern at the same time and ensure full exposure
Solution Approach 1:
The moving ball naturally traverses the entire spatial region between camera devices during pitching practice, ensuring that all cameras capture the ball at various positions. This eliminates the need for precise synchronization and positioning required by fixed patterns, while maintaining full exposure and accurate 3D reconstruction across the entire coverage area.
3Measurement precision
If conventional stereo calibration is performed, then camera parameters can be acquired initially, but recalibration is required when system environment changes or camera system deteriorates
Solution Approach 1:
The system performs calibration continuously during normal pitching practice operations. Instead of requiring separate calibration sessions with fixed patterns, the ball's natural movement during practice provides ongoing calibration data. This continuous calibration process automatically updates camera parameters when environmental changes or system deterioration occur, eliminating the need for time-consuming manual recalibration while maintaining measurement precision.
Data Source
AI summary
A three-dimensional information acquisition system using pitching practice, and a method for calculating camera parameters are disclosed. The method by which a server calculates camera parameters in order to obtain three-dimensional information, according to various embodiments of the present invention, can comprise the steps of: receiving, from at least two camera devices, image information of dynamic objects moving at a predetermined speed; confirming location information of each dynamic object, included in the image information, on the basis of the same time in each piece of image information received from each camera device; and calculating camera parameters, which indicate the relationship between the camera devices, by using at least a part of each piece of confirmed location information as a corresponding point.