Multi-Camera Integral Calibration Method for Mobile Terminals
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Solution Overview
Problem
Current methods fail to achieve accurate calibration of three cameras in mobile terminals due to significant differences in Field of View (FOV), making it impossible to obtain calibration parameters for all three cameras simultaneously.
Innovation Solution
A calibration parameter obtaining method that captures multiple images using multiple image collection elements, determines point sets corresponding to three-dimensional points, and adjusts distances to obtain initial calibration parameters, minimizing an error function to derive camera intrinsic and extrinsic matrices for integral calibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple cameras with different FOV are used to achieve diversified functionality, then the Field of View coverage and zoom capability are improved, but the calibration accuracy deteriorates because accurate simultaneous calibration cannot be obtained
Solution Approach 1:
The calibration process is segmented into multiple stages: first obtaining calibration images from multiple cameras, then extracting feature points from each camera's image, establishing correspondence between feature points across different cameras, and finally performing integral calibration. This segmentation allows each camera to contribute its calibration data independently while maintaining overall calibration accuracy.
Solution Approach 2:
The patent merges the calibration data from multiple cameras with different FOV into a unified calibration system. By combining feature point correspondences from telephoto, wide-angle, and ultra-wide-angle cameras, the system achieves integral calibration that accounts for the different characteristics of each camera, thereby resolving the contradiction between diversity and accuracy.
2Device complexity
If calibration is performed using only two cameras at a time, then the calibration process remains simple, but the calibration completeness deteriorates because three cameras cannot be integrally calibrated
Solution Approach 1:
The calibration method is designed to be universal and can handle any number of cameras simultaneously. The system extracts feature points from all camera images, establishes correspondences across the entire multi-camera system, and performs a single integral calibration that applies to all cameras involved, eliminating the need for separate pairwise calibration procedures.
Data Source
AI summary
Disclosed in the present disclosure is a calibration parameter obtaining method and apparatus, a processor, and an electronic device. The method includes that: multiple image collection elements are used to capture a calibration image in a calibration scene to obtain multiple images; point sets are obtained from the multiple images, and the point sets are imaging points corresponding to three-dimensional points on the surface of the calibration image in the multiple images; and calibration parameters to be used of the multiple image collection elements are obtained according to the point sets. The present disclosure solves the technical problem in the related art that multiple cameras cannot be integrally calibrated.