基于云架构的自适应聚类图像识别技术的研究与实现

Research and Realization of Adaptive Clustering Image Recognition Technology Based on Cloud Architectures

针对移动平台提供高精度图像识别服务,对当前比较流行的SIFT和BRISK图像识别算法进行分析和研究,提出一种新型、高效、轻量级,适用于Android的自适应聚类图像识别算法。并基于Android平台设计了一套高精度图像识别系统,利用Android本身提供的各种资源开发图像识别软件。结果表明:该系统硬件设备简单,成本较低、系统可靠、易于使用和扩展。

This paper provides high-precision image recognition service for mobile platforms. It analyzes and researches on SIFT and BRISK algorithm, and proposes a novel, efficient, lightweight adaptive clustering algorithm for image recognition which is suitable for Android. It designs a high-precision image recognition system based on the Android platform, using a variety of resources of Android to develop image recognition software. The results show that the system hardware is simple, low-priced, reliable,easy to be used and extended.