Polarization imaging lens and algorithm collaborative optimization system and method and electronic device

By using a four-directional polarization image acquisition unit and an algorithm-coordinated optimization system, the hardware complexity and real-time performance issues of existing polarization imaging technologies have been resolved, enabling efficient and real-time polarization imaging and material identification. This technology is suitable for scenarios such as autonomous driving, industrial sorting, and surface defect detection.

CN122416093APending Publication Date: 2026-07-17HANGZHOU HUICUI INTELLIGENT TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-27
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing polarization imaging technology relies on mechanically rotating polarizers and multiple exposures, resulting in complex hardware, poor real-time performance, and high costs.

Method used

A four-directional polarization image acquisition unit and algorithm collaborative optimization system are adopted, including a polarization parameter decoding and preprocessing module, a polarization-RGB multimodal fusion module, and an end-to-end collaborative training module. Multi-directional light intensity information is acquired through a single exposure, and training optimization is performed through a joint loss function.

Benefits of technology

It achieves efficient and real-time polarization imaging, simplifies hardware structure, reduces costs, and improves the accuracy and robustness of material identification, making it suitable for scenarios such as autonomous driving, industrial sorting, and surface defect detection.

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Abstract

本发明公开了偏振成像镜头与算法协同优化系统及方法及电子设备,属于偏振成像技术领域,包括:四向偏振图像采集单元:用于单次曝光时采集含有0°、45°、90°和135°方向的光强的原始图像;偏振参数解码与预处理模块:用于将含有0°、45°、90°和135°方向的光强的原始图像处理成包含偏振角和偏振度两通道的偏振参数图、以及RGB图像;偏振‑RGB多模态融合模块:用于将RGB图像和偏振参数图融合生成融合特征,再根据融合特征执行材质识别任务,输出材质类别的预测结果;端到端协同训练模块:用于偏振参数解码与预处理模块和偏振‑RGB多模态融合模块进行联合训练。本发明摒弃了传统偏振成像依赖的机械旋转偏振片、多次曝光等方式,大幅提升了成像实时性与抗干扰能力。
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