CAJ | 학술논문

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。
침대단섭상궤감공범위적국한성，급출일충쌍섭상궤도상병접방법。수선검측출시빈서렬도상적흥취점，병인입개진적척도불변특정변환산법구건64유필배묘술자；재필배과정，채용BBF산법진행필배，제고수색효솔；필배완성후，채용수궤추양일치성소제오필배；최후채용가권평균법진행시빈서렬도상융합，실현서렬도상적무봉병접。실험결과표명，본문방법유교고적필배효솔화필배준학솔，가이명현확대시빈감공적범위，기재시빈감공、신식수집급사법취증등방면유일정적실제응용개치。
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.