基于车辆信息的相机标定方法、电子设备和可读存储介质
By acquiring the set of key points of the target vehicle from the camera video frames, constructing point and connection constraint information, and automatically solving the pixel coordinate transformation relationship of the camera, the problem of low convenience of camera calibration is solved, and an efficient automatic calibration process is realized.
CN121883616BActive Publication Date: 2026-07-17ZHEJIANG DAHUA TECH CO LTD
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ZHEJIANG DAHUA TECH CO LTD
- Filing Date
- 2026-03-19
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
The camera requires manual calibration during initial setup and after pose changes, resulting in low calibration convenience.
Method used
By acquiring the target vehicle and its key point set in the video frames captured by the camera, the point distance constraint information and connection relationship constraint information between the key points are constructed. Using these constraint information, the target transformation relationship of the camera's pixel coordinates to the world coordinate system is solved, thereby achieving automatic calibration.
Benefits of technology
It improves the ease of camera calibration, reduces the cost of recalibration, and realizes an automated and efficient camera calibration process.
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Figure CN121883616B_ABST
Abstract
本申请公开了一种基于车辆信息的相机标定方法、电子设备和可读存储介质，该方法包括：获取相机采集的视频帧中的目标车辆及其对应的关键点集合；其中，关键点集合包括目标车辆对应的多个关键点的像素坐标；基于目标车辆及其对应的关键点集合，构建关键点之间的点位距离约束信息和关键线之间的连线关系约束信息；其中，关键线为两个预设点位处的关键点之间的连线；利用多个关键点集合及其匹配的点位距离约束信息和连线关系约束信息，求解关键点的像素坐标转换至相机匹配的世界坐标系的目标转换关系，得到相机标定结果。通过上述方式，本申请能够提高相机标定的便捷度。
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