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Mobile computer-vision technology will soon become as ubiquitous as touch interfaces.

机译:移动计算机视觉技术将很快变得像触摸界面一样普及。

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Kari Pulli, NVIDIA Research Anatoly Baksheev, Itseez Kirill Kornyakov, Itseez Victor Eruhimov, Itseez Computer vision is a rapidly growing field devoted to analyzing, modifying, and high-level understanding of images. Its objective is to determine what is happening in front of a camera and use that understanding to control a computer or robotic system, or to provide people with new images that are more informative or esthetically pleasing than the original camera images. Application areas for computer-vision technology include video surveillance, biometrics, automotive, photography, movie production, Web search, medicine, augmented reality gaming, new user interfaces, and many more. Modern cameras are able to focus automatically on people’s faces and trigger the shutter when they smile. Optical text-recognition systems help transform scanned documents into text that can be analyzed or read aloud by a voice synthesizer. Cars may include automated driver-assistance systems that help users park or warn them about potentially dangerous situations. Intelligent video surveillance plays an increasingly important role in monitoring the security of public areas.
机译:Kari Pulli,NVIDIA Research Anatoly Baksheev,Itseez Kirill Kornyakov,Itseez Victor Eruhimov,Itseez计算机视觉是一个快速发展的领域,致力于分析,修改和高级理解图像。其目的是确定摄像头之前发生的事情,并利用这种理解来控制计算机或机器人系统,或者为人们提供比原始摄像头图像更有意义或更美观的新图像。计算机视觉技术的应用领域包括视频监视,生物识别,汽车,摄影,电影制作,Web搜索,医学,增强现实游戏,新用户界面等等。现代相机能够自动对焦在人们的脸上,并在他们微笑时触发快门。光学文本识别系统有助于将扫描的文档转换为可以由语音合成器分析或朗读的文本。汽车可能包括自动驾驶辅助系统,可帮助用户停车或警告他们潜在的危险情况。智能视频监视在监视公共区域的安全方面起着越来越重要的作用。

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