UC知道大虾帮忙翻译下下面这段英语，非常感谢了，急啊
来源：百度知道 编辑：UC知道 时间：2024/06/02 03:07:00
WITH the ubiquity of new information technology and media, more effective and friendly methods for human computer interaction (HCI) are being developed which do not rely on traditional devices such as keyboards,mice, and displays. Furthermore, the ever decreasing price/performance ratio of computing coupled with recent decreases in video image acquisition cost imply that
computer vision systems can be deployed in desktop and
embedded systems [111], [112], [113]. The rapidly expanding
research in face processing is based on the premise that
information about a user’s identity, state, and intent can be
extracted from images, and that computers can then react
accordingly, e.g., by observing a person’s facial expression.
In the last five years, face and facial expression recognition
have attracted much attention though they have been
studied for more than 20 years by psychophysicists,
neuroscientists, and engineers. Many research demonstrat
computer vision systems can be deployed in desktop and
embedded systems [111], [112], [113]. The rapidly expanding
research in face processing is based on the premise that
information about a user’s identity, state, and intent can be
extracted from images, and that computers can then react
accordingly, e.g., by observing a person’s facial expression.
In the last five years, face and facial expression recognition
have attracted much attention though they have been
studied for more than 20 years by psychophysicists,
neuroscientists, and engineers. Many research demonstrat
随着网际网路的新资讯科技与媒体, 更加有效和友好的方式进行人机交互( HCI )正在开发中,不靠传统的装置 如键盘,老鼠,删. 此外, 不断下降的价格/性能的比例计算,加上近期跌幅视频图像采集成本意味着计算机视觉 系统可部署在桌面和嵌入式系统[111] , [112] , [113] . 迅速扩大科研面加工所依据的前提是,关于一个用户的身份,状态, 和意图,可提取图像,而电脑便可以作出相应的反应,例如 通过观察一个人的表情. 在过去的五年中, 面部和表情识别备受关注,虽然他们已研究了20余年 psychophysicists , neuroscientists ,工程师. 许多研究示范和商业应用方面已制定从这些努力. 第一步,任何人脸处理系统的检测地点在那里图像脸上都出席. 然而,面对检测从一个单一的形象,是一项艰巨的任务,因为变大,位置,方向(右, 旋转) ,并构成(额叶,轮廓) . 面部表情遮挡,光线也改变了整体外观的笑脸. 我们现在定义人脸检测:获得一个任意形象 实现人脸检测,以确定是否有任何所面临的形象, 如果存在,返回图象的位置及范围,每面. 挑战与脸检测可归结为以下几个因素: . pose . 形象的脸因为相对相机面构成(正面, 45度,轮廓,倒) 而一些脸部特征,如眼睛或鼻子可能成为局部或完全闭塞. . 有无结构部件. 眉眼如胡须, mustaches , 眼镜可能不出席,实在有很大的变化,其中包括零件 形状,颜色和大小. . 表情. 外观脸上都直接影响到一个人的表情. . 闭塞. 脸上可部分闭塞的其他物体. 在图像与一组人中,有的人脸局部occlude其他面孔.