A binocular camera calibration method and device

By acquiring and fusing binocular image features and using a pose regressor to predict the absolute pose of the camera, the problem of automated calibration of fixed large baseline binocular cameras is solved, achieving high-precision and low-cost calibration results.

CN122415744APending Publication Date: 2026-07-17GUANGZHOU POWER SUPPLY BUREAU GUANGDONG POWER GRID CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
GUANGZHOU POWER SUPPLY BUREAU GUANGDONG POWER GRID CO LTD
Filing Date
2026-03-23
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

There are challenges in performing high-precision, automated calibration of fixed, large-baseline binocular cameras in unattended environments. Existing technologies are costly and have low accuracy, and deep learning methods are limited in application in power scenarios with limited data.

Method used

The system acquires pairs of binocular images, performs feature extraction processing, determines the matching degree and geometric position information, fuses them into a high-dimensional feature vector, predicts the absolute pose of the camera through a pose regressor, calculates the relative pose information, and achieves automated calibration.

Benefits of technology

It enables high-precision automated calibration of large-baseline binocular cameras under unattended conditions, reducing labor costs, improving calibration efficiency and accuracy, and enhancing robustness in challenging scenarios.

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Abstract

本申请涉及一种双目相机标定方法和装置。包括:采集包含同一预设目标的双目图像对,对双目图像对进行特征提取处理,得到视觉特征结果;基于视觉特征结果确定左目图像和右目图像之间的匹配程度及几何位置信息;将匹配程度和几何位置信息进行融合,得到高维特征向量;根据高维特征向量预测左目相机相对于预设目标对应的几何物理模型的左目绝对位姿以及右目相机相对于几何物理模型的右目绝对位姿;根据左目绝对位姿和右目绝对位姿,计算得到左目相机与右目相机之间的相对位姿信息;其中双目相机的标定结果包括相对位姿信息。通过本申请可实现对双目相机进行高精度、自动化的标定。
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