Wide-Angle and PTZ Camera Calibration Using 3D Point Pairs
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Solution Overview
Problem
Existing surveillance systems face challenges in efficiently and accurately calibrating wide-angle and pan-tilt-zoom cameras for effective monitoring and capturing detailed information about targets within a wide area, requiring manual intervention and lacking automation.
Innovation Solution
A method and system for automatic camera calibration between wide-angle and PTZ cameras using 3D information from overlapping fields of view, employing algorithms like Levenberg-Marquardt to determine rotation matrices based on point pairs in captured images, reducing human effort and improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual calibration is used between wide-angle and PTZ cameras, then calibration accuracy can be achieved, but the calibration process is time-consuming and requires human intervention
Solution Approach 1:
The system performs automatic calibration by having the PTZ camera autonomously capture images of calibration objects detected in the wide-angle camera's field of view. The processor automatically identifies corresponding points between images and computes the rotation matrix without human intervention, enabling the system to calibrate itself
Solution Approach 2:
The wide-angle camera first captures an image to identify calibration objects and their coordinates before the PTZ camera performs detailed imaging. This preliminary detection phase prepares the calibration process by pre-identifying target objects and their positions, streamlining the subsequent automated calibration steps
2Productivity
If automatic calibration algorithms are implemented, then calibration efficiency is improved, but system complexity increases
Solution Approach 1:
The patent replaces manual mechanical calibration operations with automated image processing and computational algorithms. The processor uses computer vision techniques to detect calibration objects, extract feature points, and calculate the rotation matrix automatically, substituting human-operated mechanical adjustment with intelligent software-based calibration
3Measurement precision
If multiple image sets are processed for calibration, then calibration precision is enhanced, but processing complexity increases
Solution Approach 1:
The calibration process is divided into distinct segments: the wide-angle camera performs preliminary detection to identify calibration objects and their coordinates, then the PTZ camera captures detailed images of these objects. The processor separately handles coordinate extraction from wide-angle images and precise measurement from PTZ images, then integrates results to compute the rotation matrix. This segmentation allows multiple image sets to be processed systematically while managing complexity through structured workflow division
Data Source
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AI summary
An image capture method may include obtaining two or more sets of images. The two or more sets of images may include a first image captured by a first image capture device and a second image captured by a second image capture device. The method may also include determining, for a set of images, two or more pairs of points. Each of the two or more pairs of points may include a first point in the first image and a second point in the second image, and the first point and the second point may correspond to a same object. The method may also include determining a first rotation matrix based on the pairs of points in the two or more sets of images. The first rotation matrix may be associated with a relationship between positions of the first image capture device and the second image capture device.