[1]雷飞,王文学,王雪丽,等. 基于改进SURF的实时视频拼接方法[J].计算机技术与发展,2015,25(03):32-35.
　LEI Fei,WANG Wen-xue,WANG Xue-li,et al. Real-time Video Stitching Method Based on Improved SURF[J].,2015,25(03):32-35.
点击复制

 基于改进SURF的实时视频拼接方法()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年03期
页码:
32-35
栏目:
智能、算法、系统工程
出版日期:
2015-03-10

文章信息/Info

Title:
 Real-time Video Stitching Method Based on Improved SURF
文章编号:
1673-629X（2015)03-0032-04
作者:
 雷飞; 王文学; 王雪丽; 任维
 北京工业大学 电子信息与控制工程学院
Author(s):
 LEI Fei ; WANG Wen-xue ; WANG Xue-li;  REN Wei
关键词:
 ; 视频拼接; DirectShow; SURF; 图像配准; 图像融合
Keywords:
 ; video stitching; DirectShow ; SURF;  image registration; image fusion
分类号:
TP301
文献标志码:
A
摘要:
 视频拼接在现实生活中具有十分重要的意义。文中实现的功能是实时地将多路视频进行拼接以形成一个大视野的视频。为了使系统具有良好的实时性，先用DirectShow分离视频流、提取图像帧，然后提出了一种改进的SURF算法进行图像配准，最后采用渐入渐出法进行图像融合。改进的算法在特征点提取时对范围作了限制，同时改进了原有特征描述符，这样可以大大加快提取速度。在特征匹配时采用基于最近邻和次近邻距离比值的方法进行粗匹配，然后采用RANSAC方法进行提纯和求取变换矩阵，最后在视频拼接中，不是对每一帧图像进行配准和融合，而是只对首帧图像进行图像配准，之后的每帧图像利用第一帧计算出的变换矩阵进行图像拼接，这样可以加快视频拼接的速度。实验结果表明，该方法可以实时地生成无缝清晰的宽场景视频。
Abstract:
 Video stitching has great significance in real life. In this paper,achieve the function that stitches the multi-channel videos to form a large field of view video in real-time. To make the system has good real-time feature,firstly isolate the video streaming by Direct-Show and use an improved SURF algorithm for image registration. The improved SURF algorithm restricts the scope in the step of feature point extraction and improves the feature descriptor,which can greatly speed up the extraction. Match feature points based on the nearest neighbor and second-closest neighbor distance ratio method,and then use RANSAC approach to purify and calculate the transformation matrix. Finally,only register the first frame of the video image and use the calculated transformation matrix to stitch the other frames,in-stead of registering and fusing each frame of image,which can greatly accelerate the speed of the video mosaic. The experimental results demonstrate that this method can generate the seamless and clear video with wide scene.

相似文献/References:

[1]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
　ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(03):1.
[2]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
　LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(03):5.
[3]黄静,王枫,谢志新,等. EAST文档管理系统的设计与实现[J].计算机技术与发展,2014,24(07):13.
　HUANG Jing,WANG Feng,XIE Zhi-xin,et al. Design and Implementation of EAST Document Management System[J].,2014,24(03):13.
[4]侯善江[],张代远[][][]. 基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,24(07):21.
　HOU Shan-jiang[],ZHANG Dai-yuan[][][]. P2P Traffic Identification Based on Spline Weight Function Neural Network[J].,2014,24(03):21.
[5]李璨,耿国华,李康,等. 一种基于三维模型的文物碎片线图生成方法[J].计算机技术与发展,2014,24(07):25.
　LI Can,GENG Guo-hua,LI Kang,et al. A Method of Obtaining Cultural Debris’ s Line Chart Based on Three-dimensional Model[J].,2014,24(03):25.
[6]翁鹤,皮德常. 混沌RBF神经网络异常检测算法[J].计算机技术与发展,2014,24(07):29.
　WENG He,PI De-chang. Chaotic RBF Neural Network Anomaly Detection Algorithm[J].,2014,24(03):29.
[7]刘茜[],荆晓远[],李文倩[],等. 基于流形学习的正交稀疏保留投影[J].计算机技术与发展,2014,24(07):34.
　LIU Qian[],JING Xiao-yuan[,LI Wen-qian[],et al. Orthogonal Sparsity Preserving Projections Based on Manifold Learning[J].,2014,24(03):34.
[8]尚福华,李想,巩淼. 基于模糊框架-产生式知识表示及推理研究[J].计算机技术与发展,2014,24(07):38.
　SHANG Fu-hua,LI Xiang,GONG Miao. Research on Knowledge Representation and Inference Based on Fuzzy Framework-production[J].,2014,24(03):38.
[9]叶偲,李良福,肖樟树. 一种去除运动目标重影的图像镶嵌方法研究[J].计算机技术与发展,2014,24(07):43.
　YE Si,LI Liang-fu,XIAO Zhang-shu. Research of an Image Mosaic Method for Removing Ghost of Moving Targets[J].,2014,24(03):43.
[10]余松平[][],蔡志平[],吴建进[],等. GSM-R信令监测选择录音系统设计与实现[J].计算机技术与发展,2014,24(07):47.
　YU Song-ping[][],CAI Zhi-ping[] WU Jian-jin[],GU Feng-zhi[]. Design and Implementation of an Optional Voice Recording System Based on GSM-R Signaling Monitoring[J].,2014,24(03):47.
[11]刘有科[],高珏[],谭松[],等. 一种基于CUDA的快速宽视频拼接的方法[J].计算机技术与发展,2015,25(01):15.
　LIU You-ke[],GAO Jue[],TAN Song[],et al. A Fast Wide Video Stitching Method Based on CUDA[J].,2015,25(03):15.

更新日期/Last Update: 2015-04-30