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Mobile phone performance analysis for camera based visual interactions

机译:基于摄像头的视觉交互的手机性能分析

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摘要

Vision based technology such as motion detection has long been limited to the domain of powerful processor intensive systems such as desktop PC's and specialist hardware solutions. With the advent of much faster mobile phone processors and memory we are now seeing a plethora of feature rich software being deployed onto the mobile platform. Since these high powered smart phones are now equipped with cameras, it has become feasible to combine their powerful processors and the camera to support new ways of interacting with the phone. However, it is not clear whether or not these processor intensive visual interactions can in fact be run at an acceptable speed on current mobile handsets. In this paper we look at one of the most popular and widespread mobile smart phone systems; the Symbian s60 and benchmark the speed, accuracy and deployability of the three popular mobile languages. We test a pixel thresholding algorithm in, C++, Python and Java and rank them based on their speed within the contextof intensive image based processing.
机译:诸如运动检测之类的基于视觉的技术长期以来一直局限于功能强大的处理器密集型系统的领域,例如台式PC和专业硬件解决方案。随着更快的手机处理器和内存的出现,我们现在看到大量功能丰富的软件被部署到移动平台上。由于这些高功率智能电话现在配备了摄像头,因此将其强大的处理器和摄像头结合起来以支持与电话进行交互的新方式变得可行。但是,目前尚不清楚这些处理器密集型视觉交互是否可以在当前移动手机上以可接受的速度运行。在本文中,我们着眼于最流行和广泛使用的移动智能电话系统之一。 Symbian s60并以三种流行的移动语言的速度,准确性和可部署性为基准。我们在C ++,Python和Java中测试像素阈值算法,并根据它们在基于图像的密集处理中的速度对其进行排名。

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