基于改进SURF算法的实时视频拼接
Real-Time Video Stitching Based on Improved SURF

作者: 陈志昂 * , 徐晓刚 , 徐冠雷 :海军大连舰艇学院,辽宁 大连;

关键词: 视频拼接图像配准图像融合SURFVideo Mosaic Image Registration Image Fusion SURF

摘要:
视频拼接可以广泛地应用在视频会议、视频监控等诸多领域,它可以在不降低分辨率的前提下扩大视野。然而由于它具有数据量大、环境复杂等特点,使得实时视频拼接成为一个研究热点。本文对实时视频拼接技术进行了研究。视频拼接的本质是图像拼接,首先介绍了图像拼接的一般流程、图像配准的含义,并对常用的图像配准技术进行了分析,确定了采用基于特征点提取、特征点匹配和图像融合的图像拼接方法。

Abstract: Video mosaic is widely used in the fields of video conferencing, video surveillance and so on; it can increase the field of view while not reducing resolution. Due to large amount of data, complex environment and other reasons, real-time video mosaic becomes an active area of research. In this paper, technique of real-time video mosaic is studied.

文章引用: 陈志昂 , 徐晓刚 , 徐冠雷 (2015) 基于改进SURF算法的实时视频拼接。 图像与信号处理, 4, 123-131. doi: 10.12677/JISP.2015.44015

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