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基于特征点的视频流拼接帧选择优化算法
引用本文:王铁建,赵红领,王宗敏.基于特征点的视频流拼接帧选择优化算法[J].计算机应用,2009,29(8).
作者姓名:王铁建  赵红领  王宗敏
作者单位:1. 郑州大学,河南省信息网络重点学科开放实验室,郑州,450052;郑州大学,信息工程学院,郑州,450001
2. 郑州大学,河南省信息网络重点学科开放实验室,郑州,450052;郑州大学,水利与环境学院,郑州,450001
3. 郑州大学,河南省信息网络重点学科开放实验室,郑州,450052
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

Optimized frame selection algorithm for video stitching based on feature points
WANG Tie-jian,ZHAO Hong-ling,WANG Zong-min.Optimized frame selection algorithm for video stitching based on feature points[J].journal of Computer Applications,2009,29(8).
Authors:WANG Tie-jian  ZHAO Hong-ling  WANG Zong-min
Affiliation:1. Henan Provincial Key Laboratory on Information Network;Zhengzhou University;Zhengzhou Henan 450052;China;2. School of Information Engineering;Zhengzhou Henan 450001;3. School of Water Conservancy and Environmental Engineering;China
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...
Keywords:Image Based Rendering (IBR)  Scale Invariant Feature Transform (SIFT)  video stitching  frame selection
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