基于SURF和RANSAC的真实目标配准算法

Chuyi Dai, Ding Liu, Weihao Hu
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引用次数: 2

摘要

近年来,随着智能手机设备和移动蜂窝网络技术的快速发展,基于手机摄像头的实时虚拟现实反馈软件和游戏得到了迅速发展。然而,现有的实景物品匹配算法通常需要依赖互联网连接或需要设备的高性能计算能力才能满足需求。为此,本文提出了一种基于SURF算法的实景物品配准算法,该算法具有实时性好、计算量小、易于实现等优点。它可以在游戏和智能机器人中用于物品识别和注册的实时软件中采用并进一步发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real Object Registration Algorithm Based on SURF and RANSAC
In recent years, with the rapid development of smartphone devices and mobile cellular network technology, real-time virtual reality feedback software and games based on mobile phone cameras have developed rapidly. However, current existing real-scene item matching algorithms usually need to rely on Internet connections or require the high-performance computing power of devices to meet the demand. For this reason, this paper proposes a real-scene item registration algorithm based on the SURF algorithm, which has the advantages of good real-time performance, low calculation amount, and easy implementation. It can be adopted and further developed in real-scene software for item recognition and registration used in games and intelligent robots.
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