针对单摄像机监控范围的局限性，给出一种双摄像机图像拼接方法。首先检测出视频序列图像的兴趣点，并引入改进的尺度不变特征变换算法构建64维匹配描述子；在匹配过程，采用BBF算法进行匹配，提高搜索效率；匹配完成后，采用随机抽样一致性消除误匹配；最后采用加权平均法进行视频序列图像融合，实现序列图像的无缝拼接。实验结果表明，本文方法有较高的匹配效率和匹配准确率，可以明显扩大视频监控的范围，其在视频监控、信息收集及司法取证等方面有一定的实际应用价值。%Aiming at the disadvantage of the small monitoring range of single camera,an image mosaic method based on binocular cameras is presented. Firstly,the interesting points from video sequence image are detected,and im-proved scale invariant feature transform algorithm is introduced to build the 64 -dimensional descriptors. In the process of matching,BBF algorithm is adopted,which can improve the matching efficiency. After that,the error matc-hing is eliminated by using random sample consensus method. Finally,the image mosaic is done with the weighted av-erage method. The experimental results show that this method has a higher matching efficiency and accuracy,and it can effectively extend monitoring range. It has a practical application value in the fields of video surveillance,informa-tion collection and judicial forensics.
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