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对于压缩型单光子3D相机的硬件感知编码功能设计

David Parra, Felipe Gutierrez-Barragan, Trevor Seets

IEEE transactions on pattern analysis and machine intelligence

|August 14, 2025

概括

这项研究引入了单光子3D成像的新优化方法. 它在硬件限制下改进了数据压缩,超过了现有的技术,特别是在峰值功率限制的情况下.

科学领域:

光学和光子学在光学和光子学.
计算机视觉计算机视觉
信号处理信号处理

背景情况:

单光子相机对于高分辨率的飞行时间3D成像至关重要.
硬件限制 (带宽,激光功率,数据速率) 阻碍了性能.
压缩直方图提供传感器内数据压缩,但在硬件限制下表现不佳.

研究的目的:

开发用于压缩单光子3D成像的实用编码功能.
在现实世界硬件约束下解决压缩直方图的低性能.
在硬件限制范围内优化照明和编码矩阵.

主要方法:

使用梯度下降的受约束优化方法.
联合优化照明和编码矩阵.
基于模拟的评估和真实世界的系统测试.

主要成果:

在带宽和峰值功率限制下,优化的编码功能优于传统设计.
在峰值功率受限制的系统中观察到显著的性能增长.
该方法适应非理想的冲动响应函数.

结论:

拟议的受约束优化方法增强了压缩单光子3D成像.
这种方法有效地克服了实际成像系统中的硬件限制.
它为现实世界3D成像应用提供了强大的解决方案.

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