文章引用说明 更多>> (返回到该文章)

Gracias, N.R.E., Mahoor, M.H., Negahdaripour, S. and Gleason, A.C.R. (2009) Fast image blending using watersheds and graphcuts. Image and Vision Computing, 27, 597-607.
http://dx.doi.org/10.1016/j.imavis.2008.04.014

被以下文章引用:

• 标题: 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

  关键字: 视频拼接, 图像配准, 图像融合, SURFVideo Mosaic, Image Registration, Image Fusion, SURF

  期刊名称: 《Journal of Image and Signal Processing》, Vol.4 No.4, 2015-10-27

  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。 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.