基于位置的手机图像识别
首发时间:2013-12-26
摘要:随着手机的日益普遍,很多位置相关的服务和娱乐应用也应运而生,受到了用户的好评和依赖。同时,GPS定位不够准确的问题也日益凸显。本文在研究现有相关技术和背景的基础上,分析并设计基于位置的手机图像识别系统,旨在通过图像识别技术,进一步精确的提供给用户位置服务信息。此外,本文还重点对关键算法SIFT算法做了详细的分析和研究,通过大量的实验分析,有力的说明了该算法在尺度、噪声、遮挡、光线变化等方面具有强健的鲁棒性。并且,对该算法的执行效率和识别准确度进行了检验。
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Image recognition based on mobile location
Abstract:As mobile phones become more common, location-based services and entertainment applications have obtained more praise and dependence from users. At the same time, the problem of the location from GPS not enough accurate has been explored increasingly. In this paper, analysis and design an image recognition system for mobile based on the study of existing related technologies and background. It aims at to get more accurate location information from GPS combined local image recognition. Additionally, this paper focus on the SIFT algorithm which is the key algorithm of image recognition and do a detailed analysis and research. A large number of experimental analysis show that SIFT in scale, rotation, noise, shade and other aspects has strong robust. And the efficiency and the recognition precision of the algorithm have a good performance verified by amount of experiments.
Keywords: LBS Image recognition SIFT Robust
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