OpenSURF performance in windows phone 7

R. Wijaya, A. I. Wuryandari, H. C. Nugraha
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引用次数: 2

Abstract

OpenSURF is an algorithm to detect point correspondences between two images. OpenSURF is an integral part of computer vision and machine vision. The Algorithm aims is to find important region in images which can found under variety of image transformation. This algorithm can be used for augmented reality object recognition, or medical imaging. This research is to reach maximum performance augmented reality markerless application. Especially on Actual Mobile Guide for Tourist application. OpenSURF doesn't have library for windows phone so we have to porting from C++ to C#. The performance of OpenSURF is not much further than android library, it is 6,666 second(windows phone) versus 8.779 second(android) with 604 × 453 pixel picture.
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windows phone 7中的OpenSURF性能
OpenSURF是一种检测两幅图像之间点对应关系的算法。OpenSURF是计算机视觉和机器视觉的重要组成部分。该算法的目的是在各种图像变换下找到图像中可以找到的重要区域。该算法可用于增强现实对象识别或医学成像。本课题的研究是为了实现增强现实无标记应用的最大性能。特别是在实际移动导游旅游应用程序。OpenSURF没有windows phone的库,所以我们必须从c++移植到c#。OpenSURF的性能并不比android库差多少,在604 × 453像素的图片上,它是6666秒(windows phone)比8.779秒(android)。
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