Android移动平台上的目标识别

随着计算机视觉的发展和移动平台处理能力的不断提高,将计算机视觉应用搬到移动平台上的需求将日益增长.其中基于移动平台的目标识别引起了大家极大的兴趣,这主要是因为目标识别算法取得了进步和移动手机已经有能力建立起一个适宜的系统.移动平台开发者们试着使用目标识别技术来建立良好的人机交互接口.这就需要合适的应用程序框架一客户服务器,在新兴的Android移动平台上来实现并测试框架,给出了一个案例学习及其测试结果.实验结果表明了这种框架的可行性.

Object Recognition on Android Mobile Platform

With the development of computer vision and the processing capacity of mobile platform, the requirement of moving computer vision application to mobile platform will be ever increasing. In recent years there has been great interest in implementing object recognition frame work on mobile phones. This has stemmed from the fact the advances in object recog- nition algorithm and mobile phone capabilities have built a congenial ecosystem. Application developers on mobile platforms are trying to utilize the object recognition technology to build better human computer interfaces. Proper application frame- work is required. In this thesis, a client server framework is proposed and the emerging Android mobile platform is used to implement and test the framework. A case study is performaed and the test result is reported. The experimental results show the feasibility of the framework.