摘要
本文详细介绍了基于BP神经网络技术的人体三维成像系统的光学测量硬件、数据获取,如何训练反向传播神经网络(BPN)确定系统映射函数,以及人体三维曲面成像的方法。通过将软、硬件进行有效结合,在不影响精度的前提下有效地提高了速度。实验结果表明,研究结果对工程应用具有实际指导意义。
This article in detail introduced based on the BP nerve network technology human body three dimensional imaging system of the optical measurement hardware and the data gain, and how to train the reverse dissemination nerve network （BPN） to determine the system mapping function, as well as human body 3D curved surface imaging. Through by the software and the hardware carries on the effective union, to enhance the speed without affect the precision. The experimental result indicated that the findings have the actual guiding sense to the project application.
出处
《微计算机信息》
北大核心
2006年第12S期229-230,278,共3页
Control & Automation
基金
陕西省自然科学基金项目(编号:2003F05)
关键词
神经网络
三维测量
OPENGL
Nerve network,three dimensional measurement,OpenGL
