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通过嵌入式结构光摄像头内存加速点云计算
Yanan Zhang1,2, Shikang Meng1,2, Shijie Wang1,2
1Institute of Applied Mathematics, Hebei Academy of Sciences, Shijiazhuang 050081, China.
Journal of imaging
|February 26, 2026
概括
本研究介绍了一种基于内存的框架,以加速嵌入式系统的结构化光点云计算. 通过预先计算和存储参数,它可以显著加快3D传感速度,而不会牺牲精度.
科学领域:
- 计算机视觉 计算机视觉
- 3D 感应 3D 感应
- 嵌入式系统 嵌入式系统
背景情况:
- 结构光摄像头对于3D传感至关重要,但在嵌入式系统中面临计算局限性.
- 由于资源限制,实现高速点云计算具有挑战性.
研究的目的:
- 开发一个内存驱动的计算框架,以加速结构光点云计算.
- 为了减少实时3D传感应用中的计算负载.
主要方法:
- 预先计算点云计算过程并将其存储为内存参数.
- 将框架实例化为低内存和高内存的方法.
- 优化数据格式以减少带宽要求.
主要成果:
- 提出的方法在点云计算中实现了实质性的加速.
- 保持了与传统方法相比的准确性.
- 演示了减少计算负载和内存足迹.
结论:
- 基于内存的框架为优化结构光管道提供了可通用的方法.
- 在资源受限的嵌入式应用程序中实现增强的实时3D传感.
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