用于深度相机的深度点云矫正方法、系统和深度相机

By using a depth point cloud correction method based on a depth camera, and employing a two-stage judgment process involving depth calculation, correction module, and abnormal point cloud detection module, accurate depth point cloud data is generated. This solves the problem of point cloud data error caused by multipath interference from depth cameras and improves the correction effect.

CN116416169BActive Publication Date: 2026-07-17ZHEJIANG SUNNY INTELLIGENT OPTICAL TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
ZHEJIANG SUNNY INTELLIGENT OPTICAL TECH CO LTD
Filing Date
2021-12-29
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing depth cameras are susceptible to multipath interference and other factors during measurement, resulting in errors in depth point cloud data, and existing correction methods are not ideal.

Method used

By acquiring source data from a depth camera, first and second depth point cloud data are generated using a depth calculation module and a depth correction module. An abnormal point cloud detection module performs secondary judgment based on absolute and relative differences to mark abnormal point cloud data. Finally, accurate depth point cloud data is generated through a depth fusion module.

Benefits of technology

It improves the accuracy of identifying abnormal point clouds and enhances the correction effect of depth point clouds, especially in the case of multipath interference, thereby improving the accuracy of depth point cloud data.

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Abstract

公开了一种用于深度相机的深度点云矫正方法及其系统,所述用于深度相机的深度点云矫正方法提出了一种异常点云的评判体系,以提高对异常点云的判断准确度,进而,基于对异常点云较为准确的判断确定最终的深度点云数据,以改善点云矫正效果。并且,所述用于深度相机的深度点云矫正方法通过二级判断标准判断点云是否存在异常,以提高判断准确性。
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