计算机应用 ›› 2009, Vol. 29 ›› Issue (08): 2112-2115.

• 生物特征识别与虚拟现实 • 上一篇    下一篇

基于特征点的视频流拼接帧选择优化算法

王铁建1,赵红领2,王宗敏3   

  1. 1. 郑州大学信息工程学院
    2.
    3. 郑州大学信息网络省重点学科开放实验室
  • 收稿日期:2009-02-24 修回日期:2009-04-03 发布日期:2008-08-01 出版日期:2009-08-01
  • 通讯作者: 王铁建
  • 基金资助:
    河南省自然科学基金 虚拟现实建模技术的研究与应用(0611051900);省部级基金

A SIFT-based optimized algorithm of frame choosing on video stitching

  • Received:2009-02-24 Revised:2009-04-03 Online:2008-08-01 Published:2009-08-01

摘要: 提出了一种具有公共视野的视频流拼接中视频帧的选择优化算法,算法计算候选帧与基准帧特征匹配对的特征向量差值的算术均值,选择均值最小的候选帧作为最佳拼接帧,与基准帧进行拼接。实验结果表明,基于该算法拼接的视频流全景视图效果较好,算法很好地解决了视频流拼接中最佳拼接帧的自动选择问题。

关键词: 基于图像的绘制技术, 尺度不变特征变换, 视频流拼接, 帧选择, Image Based Rendering (IBR), Scale Invariant Feature Transform (SIFT), frame selection

Abstract: This paper presented an optimized algorithm of frame selection on the stitching of videos with overlapped visions. Firstly,it compared the Scale Invariant Feature Transform (SIFT) value differences of all the match points of standard frame and candidacy frames, and then selected the point pairs with minimal SIFT value difference, and calculated the mean values of these differences. Finally, the frame with the minimum mean value was selected as the best frame, and stitched with the standard frame. This algorithm assures the best matching frame and can be used to choose the best stitching frame automatically in video stitching. Simulation shows the effectiveness of this algorithm.

Key words: video stitching

中图分类号: