Research of Face Location System Based on Human Vision Simulations

In this paper we present a robust face location system based on human vision simulations to automatically locate faces in color static images. Our method is divided into four stages. In the first stage we use a gauss low-pass filter to remove the fine information of images, which is useless in the initial stage of human vision. During the second and the third stages, our technique approximately detects the image regions, which may contain faces. During the fourth stage, the existence of faces in the selected regions is verified. Having combined the advantages of Bottom-Up Feature Based Methods and Appearance-Based Methods, our algorithm performs well in various images, including those with highly complex backgrounds.

一种基于神经网络的视觉定位系统

本文提出了一种基于人工神经网络的多线阵相机系统标定与 3D定位方法 ,并应用于基于多线阵相机构成的视觉空间定位系统 .该视觉定位系统利用了线阵相机的快速性与高分辨率的特点 ,非平行空间投影面相交定位的基本原理 ,实现了这种结构下快速、高精度空间定位 .实验表明 ,人工神经网络的定位方法简化了多线阵视觉定位系统标定与定位计算的复杂性 ,在定位精度上达到了良好效果 .为机器人位置反馈控制提供了有效的技术途径

用于移动机器人的视觉全局定位系统研究

本文叙述了用于移动机器人自主导航定位的一种视觉全局定位系统技术 .该视觉定位系统由 L ED主动路标、全景视觉传感器和数据处理系统组成 .本文主要介绍了为提高全景视觉图像处理速度和环境信标识别可靠性、准确性的应用方法 ,并给出了实验结果 .实验表明 ,视觉定位是具有明显研究价值和应用前景的全局导航定位技术

移动机器人激光全局定位系统的算法研究

介绍了一种新型的移动机器人激光全局定位系统。重点讨论了结构化环境中移动机器人的全局定位方法 ,提出了一种新的基于最小二乘法的迭代搜索定位算法。全方位移动机器人平台上进行的定位实验 ,证实了该算法的有效性。

自主移动机器人激光全局定位系统研究

本文介绍了我们研制开发的一种用于自主移动机器人的激光全局定位系统 ,重点描述了该系统的硬件结构和工作原理 ,介绍分析了定位算法 .文章最后介绍了该定位系统在实验室条件下所进行的实验 .实验结果表明 :该系统具有较高的定位精度和抗干扰能力 ,是自主移动机器人理想的定位工具 .

一种基于视觉的移动机器人定位系统

具有自主的全局定位能力是自主式移动机器人传感器系统的一项重要功能 .为了实现这个目的 ,国内外均在不断地研究发展各种定位传感器系统 .这里介绍了一种采用光学原理的全方位位置传感器系统 .该传感器系统由主动式路标、视觉传感器、图象采集与数据处理系统组成 .其视觉传感器和数据处理系统可安装在移动机器人上 ,然后可通过观测路标和视角定位的方法 ,计算出机器人在世界坐标系中的位置和方向 .实验证明 ,该系统可以实现机器人的在线定位 ,其采样速率和精度能够满足实用要求 .

Keyword spotting system based on biomimetic pattern recognition

The mandarin keyword spotting system was investigated, and a new approach was proposed based on the principle of homology continuity and point location analysis in high-dimensional space geometry theory which are both parts of biomimetic pattern recognition theory. This approach constructed a hyper-polyhedron with sample points in the training set and calculated the distance between each test point and the hyper-polyhedron. The classification resulted from the value of those distances. The approach was tested by a speech database which was created by ourselves. The performance was compared with the classic HMM approach and the results show that the new approach is much better than HMM approach when the training data is not sufficient.

Study of buncher efficiency in axial injection system of SFC

In order to reduce the influence of the stray electric field of the buncher in the axial injection system of SFC and to improve the injection efficiency of SFC, the existing buncher electrode is investigated and a new electrode is designed. The influences of the electric field to the beams for the both cases are simulated. The simulation results show that the bunching efficiency is improved from 55% to 74% with the new electrode. At the same time, the influence of the space charge is computed and according to the results, the location of the buncher is readjusted too.